272 Netezza Jobs

Diverse Lynx is looking for DataStage Developer to join our dynamic team and embark on a rewarding career journey Analyzing business requirements and translating them into technical specifications Designing and implementing data integration solutions using Datastage Extracting, transforming, and loading data from various sources into target systems Developing and testing complex data integration workflows, including the use of parallel processing and data quality checks Collaborating with database administrators, data architects, and stakeholders to ensure the accuracy and consistency of data Monitoring performance and optimizing Datastage jobs to ensure they run efficiently and meet SLAs Troubleshooting issues and resolving problems related to data integration Knowledge of data warehousing, data integration, and data processing concepts Strong problem-solving skills and the ability to think creatively and critically Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders

FC Global Services India LLP (First Citizens India), a part of First Citizens BancShares, Inc., a top 20 U.S. financial institution, is a global capability center (GCC) based in Bengaluru. Our India-based teams benefit from the company’s over 125-year legacy of strength and stability. First Citizens India is responsible for delivering value and managing risks for our lines of business. We are particularly proud of our strong, relationship-driven culture and our long-term approach, which are deeply ingrained in our talented workforce. This is evident across all key areas of our operations, including Technology, Enterprise Operations, Finance, Cybersecurity, Risk Management, and Credit Administration. We are seeking talented individuals to join us in our mission of providing solutions fit for our clients’ greatest ambitions. Job Description Value Preposition Responsible for developing and maintaining large scale data platforms: building data pipelines to share enterprise data, designing and building cloud solutions with appropriate data access, data security, data privacy and data governance Demonstrate deep technical knowledge and expertise in software development, data engineering frameworks and best practices. Use agile engineering practices and various data development technologies to rapidly develop creative and efficient data products Job Details Position Title: Principal Data Engineer Career Level: P4 Job Category: Assistant Vice President Role Type: Hybrid Job Location: Bangalore About The Team The data engineering team is community of dedicated professionals committed to designing, building, and maintaining data platform solutions for the organization. Impact (Job Summary/Why This Role Matters) Enterprise data warehouse supports several critical business functions for the bank including Regulatory Reporting, Finance, Risk steering, and Customer 360. This role is vital for building and maintaining enterprise data platform, data processes, and to support business objectives. Our values — inclusivity, transparency, and excellence — drive everything we do. Join us and make a meaningful impact on the organization. Key Deliverables (Duties and Responsibilities) As a Principal Data Engineer, you will be responsible for building and maintaining large scale data platforms: enriching data pipelines to share enterprise data, designing, building, and maintaining a data platform such as Enterprise Data Warehouse, Operational Data Store or Data Marts etc. with appropriate data access, data security, data privacy and data governance. Demonstrate technical knowledge and leadership in software development, data engineering frameworks and best practices. Collaborate with the Data Architects, Solution Architects & Data Modelers to enhance the Data platform design, constantly identify a backlog of tech debts in line with identified upgrades and provide technical solutions & implement the same. Participates on the Change Advisory Board (CAB) and ensures effective change control is implemented for all infrastructure and/or application installations, rollbacks, and updates. Collaborate with IT and CSO teams to ensure compliance with data governance, privacy and security policies and regulations. Manage deliverables of developers, perform design reviews and coordinate release management activities. Drive automation, identify inefficiencies, optimize processes and data flows, and recommend improvements. Use agile engineering practices and various data development technologies to rapidly develop and implement efficient data products. Work with global technology teams across different time zones (primarily US) to deliver timely business value. Skills and Qualification (Functional and Technical Skills) Functional Skills Business/Domain Knowledge: Good understanding of application systems and business domains Partnership and Collaboration: Develop and maintain partnership with business and IT stakeholders Communication: Excellent verbal, written, and interpersonal communication skills. Problem Solving: Excellent problem-solving skills, incident management, root cause analysis, and proactive solutions to improve quality. Team Player: Support peers, team, and department management. Attention to Detail: Ensure accuracy and thoroughness in all tasks. Technical/Business Skills Data Engineering: Experience in designing and building Data Warehouse and Data lakes. Extensive knowledge of data warehouse principles, design, and concepts. Technical expertise working in large scale Data Warehousing applications and databases such as Oracle, Netezza, Teradata, and SQL Server. Deep technical knowledge in data engineering frameworks and best practices. Experience with public cloud-based data platforms especially Snowflake, AWS, and machine learning capabilities such as Sagemaker, DataRobot. Data integration skills: Expertise in creating and maintaining ETL processes and architecting complex data pipelines - knowledge of data modeling techniques and high-volume ETL/ELT design. Solutions using any industry leading ETL tools such as SAP Business Objects Data Services (BODS), Informatica Cloud Data Integration Services (IICS), IBM Data Stage. Knowledge of ELT tools such as DBT, Fivetran, and AWS Glue Data Model: Expert knowledge of Logical and Physical Data Model using Relational or Dimensional Modeling practices, and high-volume ETL/ELT design. Expert in SQL - development experience in at least one scripting language (Python etc.), adept in tracing and resolving data integrity issues. Knowledge of Data Visualization using Power BI or Tableau Performance tuning of data pipelines and DB Objects to deliver optimal performance. Excellent data analysis skills using SQL and experience in incident management techniques. Data protection/compliance standards like GDPR, CCPA, HIPAA Experience working in Financial Industry is a plus Leadership Qualities (For People Leaders) Communication: Clearly conveys ideas and listens actively. Inspiration: Motivates and encourages the team to achieve their best. Influence: Extensive stakeholder management experience and ability to influence people Driving strategic and technical initiatives Relationships & Collaboration Reports to: Associate Director - Data Engineering Partners: Senior leaders and cross-functional teams Leads: A team of Data Engineering associates Accessibility Needs We are committed to providing an inclusive and accessible hiring process. If you require accommodations at any stage (e.g. application, interviews, onboarding) please let us know, and we will work with you to ensure a seamless experience. Equal Employment Opportunity FC Global Services India LLP (First Citizens India) is an Equal Employment Opportunity Employer. We are committed to fostering an inclusive and accessible environment and prohibit all forms of discrimination on the basis of gender, religion, caste, disability, sexual orientation, economic status or any other characteristics protected by the law. We strive to foster a safe and respectful environment in which all individuals are treated with respect and dignity. Our EEO policy ensures fairness throughout the employee life cycle.

Primary Skills Experience in Risk or finance technology area Strong SQL knowledge, involving complex joins and analytical functions Good understanding of Data Flow , Data Model and database applications working knowledge of Databases like Oracle and Netezza Decompose Existing Essbase Cubes(Understand cube structure and logic. Document all metadata and business rules. Prepare for migration or rebuild on modern platforms) Secondary Skills Conceptual knowledge of ETL and data warehousing, working knowledge is added advantage Basic knowledge of Java is added advantage. JD Seeking professionals with capability to perform thorough analysis and articulation of risk or Finance Tech model data requirements, identification and understanding of specific data quality issues to ensure effective delivery data to the users using standard tools .He will provide analysis of internal and external regulations (credit risk) and preparation of functional documentation on this basis .He works with large amounts of data: facts, figures, and number crunching. Perform thorough analysis and articulation of risk or Finance Tech model data requirements, Identification and understanding of specific data quality issues to ensure effective delivery data to the users using standard tools. Provide analysis of internal and external regulations (credit risk) and preparation of functional documentation on external regulations (credit risk) Need to work with large amounts of data: facts, figures, and number crunching. Experience in Risk or finance technology area. Strong SQL knowledge, involving complex joins and analytical functions About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

We are Hiring for Business Analyst Experience: 6 – 10 Years Work Location: Hyderabad or Chennai or Bangalore Notice:0-20 Days Key Skills: Business Analyst, Banking domain, Finance, SQL Role Overview We are seeking a Risk & Finance Technology Specialist with strong expertise in SQL, database applications, and financial data models. The ideal candidate will play a key role in managing data flow, enhancing analytical systems, and supporting the migration of Essbase cubes to modern platforms. Key Responsibilities Design, analyze, and optimize data flow and data models for finance and risk technology applications. Write and optimize complex SQL queries , including advanced joins and analytical functions. Work with databases such as Oracle and Netezza to develop, maintain, and troubleshoot applications. Decompose existing Essbase Cubes : Analyze cube structures and logic. Document metadata, hierarchies, and business rules. Prepare solutions for migration or rebuild on modern platforms. Collaborate with business and technology teams to ensure data integrity, accuracy, and alignment with business requirements. Qualifications Proven experience in risk or finance technology domains. Strong proficiency in SQL and database concepts. Working knowledge of Oracle, Netezza, or similar databases . Solid understanding of data flows, data modeling, and database applications . Hands-on experience with Essbase cubes (design, structure, business rules, and migration). Strong problem-solving skills and attention to detail. If Interested apply at shalini.v@saranshinc.com #RiskTechnology #FinanceTechnology #SQL #DataModeling #DataEngineering #OracleDatabase #Netezza #Essbase #DataAnalytics

Primary Skills Experience in Risk or finance technology area Strong SQL knowledge, involving complex joins and analytical functions Good understanding of Data Flow , Data Model and database applications working knowledge of Databases like Oracle and Netezza Decompose Existing Essbase Cubes(Understand cube structure and logic. Document all metadata and business rules. Prepare for migration or rebuild on modern platforms) Secondary Skills Conceptual knowledge of ETL and data warehousing, working knowledge is added advantage Basic knowledge of Java is added advantage. JD Seeking professionals with capability to perform thorough analysis and articulation of risk or Finance Tech model data requirements, identification and understanding of specific data quality issues to ensure effective delivery data to the users using standard tools .He will provide analysis of internal and external regulations (credit risk) and preparation of functional documentation on this basis .He works with large amounts of data: facts, figures, and number crunching. Perform thorough analysis and articulation of risk or Finance Tech model data requirements, Identification and understanding of specific data quality issues to ensure effective delivery data to the users using standard tools. Provide analysis of internal and external regulations (credit risk) and preparation of functional documentation on external regulations (credit risk) Need to work with large amounts of data: facts, figures, and number crunching. Experience in Risk or finance technology area. Strong SQL knowledge, involving complex joins and analytical functions About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

As a Senior Netezza Engineer , you will contribute to the design, development, and maintenance of enterprise data warehouse solutions. You will ensure high performance, data integrity, and availability of mission-critical systems that support business operations across the bank. Key Responsibilities: Develop and maintain Netezza-based data warehouse objects (tables, views, stored procedures, scripts). Design, build, and optimize DataStage ETL jobs and DB2 SQL queries for complex data transformations. Perform database administration tasks including schema design, access control, and system monitoring. Support database backup, recovery, and migration activities. Ensure compliance with security and data governance guidelines for sensitive information. Partner with IT and business teams to deliver accurate and timely data solutions. Analyze logs, troubleshoot performance issues, and recommend enhancements. Document processes, workflows, and technical solutions. Requirements: Bachelors degree in Computer Science, Engineering, or related discipline. 5–8 years of strong experience in Netezza, DataStage, DB2, and SQL . Proficient in database performance monitoring and optimization. Working knowledge of Linux/Unix environments and shell scripting. Solid problem-solving, debugging, and collaboration skills. Nice to Have: Familiarity with cloud technologies (Azure, AWS, Snowflake). Experience with Agile project delivery. Role & responsibilities Preferred candidate profile

Primary Skills Experience in Risk or finance technology area Strong SQL knowledge, involving complex joins and analytical functions Good understanding of Data Flow , Data Model and database applications working knowledge of Databases like Oracle and Netezza Decompose Existing Essbase Cubes(Understand cube structure and logic. Document all metadata and business rules. Prepare for migration or rebuild on modern platforms) Secondary Skills Conceptual knowledge of ETL and data warehousing, working knowledge is added advantage Basic knowledge of Java is added advantage. JD Seeking professionals with capability to perform thorough analysis and articulation of risk or Finance Tech model data requirements, identification and understanding of specific data quality issues to ensure effective delivery data to the users using standard tools .He will provide analysis of internal and external regulations (credit risk) and preparation of functional documentation on this basis .He works with large amounts of data: facts, figures, and number crunching. Perform thorough analysis and articulation of risk or Finance Tech model data requirements, Identification and understanding of specific data quality issues to ensure effective delivery data to the users using standard tools. Provide analysis of internal and external regulations (credit risk) and preparation of functional documentation on external regulations (credit risk) Need to work with large amounts of data: facts, figures, and number crunching. Experience in Risk or finance technology area. Strong SQL knowledge, involving complex joins and analytical functions

We are seeking a highly skilled Data Engineer with expertise in Azure, DBT, Snowflake, DataStage, and Netezza to design, build, and optimize large-scale data solutions. The ideal candidate will have strong experience in developing ETL/ELT pipelines, implementing data modeling best practices, and ensuring data quality and governance across complex data environments. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using DataStage, DBT, and Azure Data Services. • Implement data integration solutions to ingest, transform, and load data into Snowflake and Netezza environments. Collaborate with business analysts, data scientists, and stakeholders to gather requirements and translate them into data engineering solutions. Optimize queries, workflows, and data models to enhance performance and cost efficiency. Implement data governance, data quality, and security standards across all pipelines. Migrate and modernize legacy data systems into cloud-based (Azure + Snowflake) solutions. Develop Source-to-Target Mapping (STTM) and maintain technical documentation for data flows. Support production data pipelines by troubleshooting issues, ensuring SLA adherence, and maintaining system reliability. Work with cross-functional teams to enable self-service analytics through curated datasets and semantic models. Required Skills & Qualifications 58 years of experience as a Data Engineer or in a similar role. Strong expertise in Azure Data Platform (Data Factory, Synapse, Databricks preferred). Hands-on experience with DBT for data transformation and modeling. Proficiency in Snowflake for cloud-based data warehousing and query optimization. Strong background in ETL development using IBM DataStage. Experience with Netezza for data warehouse management and performance tuning. Advanced SQL skills (joins, CTEs, optimization, data transformations). Familiarity with data governance, lineage, and metadata management. Strong problem-solving and communication skills with the ability to work in agile teams. Good to Have Experience with Python or Scala for data engineering tasks. Exposure to cloud migration projects (on-premises to Azure/Snowflake). Knowledge of Power BI/Tableau for BI reporting integration. Experience with CI/CD pipelines (Git, Azure DevOps) for data deployments.

Summary: The Marketing Technology (Martech) Technical Architect is responsible for providing technical leadership during HCL Unica software implementations, upgrades and workshops. The Architect will facilitate solution definition, design and implementation. The Architect will technically supervise the installation, upgrade, configuration, integration and performance tuning across the HCL Unica Suite: Campaign, Interact, Contact Optimization, Plan, Journey, Deliver & Link. Knowledge and experience with the supporting third-party components including web application layer, database and operating systems is required. Cloud Native experience across Helm Charts, Docker Containers and Kubernetes Clusters, as well as Cloud Hosted databases and knowledge of OpenShift is a plus. This position requires the ability to work independently, take accountability for solution services and delivery, and function as a team member with both colleagues and clients. Experience: Qualified candidates should have 15+ years of experience and a demonstrated track record in solution design, integration, technical configuration, installation and trouble-shooting of Marketing Automation Frameworks like Unica, Adobe, Braze, Salesforce, etc.. The role requires a 4-year university degree. Responsibilities: Qualified candidates are responsible for implementation of the HCL Unica Suite, including: Campaign, Interact, Contact Optimization, Plan, Journey, Deliver & Link: Lead Unica services customer engagements providing solutions, specifically facilitating client-facing activities related to requirements and design for solution definition, proposal and client acceptance. Document, present and gain client acceptance of proposed Unica marketing solutions (e.g., requirements documentation, design/architecture documents and associated diagrams). Perform and/or support product configuration, unit, system, acceptance and performance testing. Perform and/or support product configuration asset migration across installations, including production deployment and go-live. Provide guidance and enablement to client technical staff in the maintenance and configuration of the Unica products, as well as supporting architecture components (e.g., WebSphere/Web Logic/Tomcat, JBoss, databases and file systems,) and associated environmental maintenance activities (e.g., backup and recovery). Design integrations between Unica products and third-party applications. Installation, architectural design, performance/scalability, and hardware sizing for Unica product installations and upgrades to address requirements relative 3-tier architectures, network, security, high availability, web/application server clustering, virtualized environments, database connectivity. Perform product installations and upgrades, including self-sufficiency in installation and configuration of WebLogic, WebSphere, Tomcat and/or JBoss Lead and/or direct client staff in relational database creation, table, view and index creation, SQL script development, execution and query performance tuning for DB2, Oracle, MS SQL Server, MariaDB, PostgreSQL and/or HCL OneDB. Qualified candidates can configure SQL clients for access to all of the above primary relational databases. Preferred candidates also must be experienced in the above in Big Data platforms, including Hadoop, Teradata and Netezza and/or Cloud Hosted databases like Snowflake, Google BigQuery, Redshift and/or Actian Avalanche Perform initial system administration activities in Microsoft Windows, RedHat Linux, AIX operating systems, including system monitoring and configuration utilities, as well as associated batch or shell scripting and execution techniques. Apply common data modeling, design, and documentation techniques (e.g., Entity Relationship Diagrams (ERDs), data dictionaries, Visio diagram views). Perform Java API program design, development, unit test and execution. Candidates with Interact experience (real-time inbound) also implement integrations utilizing SOAP, Java, REST-like APIs, including design of message sequence diagrams between calling systems and Interact. Cloud Native experience – Helm Charts, Docker Containers and Kubernetes Clusters as well as Cloud Platform: GCP, AWS, Azure and OpenShift is a plus Experience installing Kafka and Kafka integrations is a plus OpenShift experience Build intellectual capital to be used as accelerators for solution delivery, and enablement. Assist with product and services sales opportunities. Products: Preferred: experience with HCL Unica Suite, including Campaign, Interact, Contact Optimization, Plan, Collaborate Journey, Deliver & Link. All were formally branded Affinium or IBM OR Experience with other Marketing Automation Platforms like Salesforce or Adobe. Travel: 30 to 50% +/- travel required Compensation : Base salary, plus bonus

As a member of the Analytics and Insights Managed Services team, you will play a crucial role in leveraging industry expertise, technology, data management, and managed services experience to drive sustained outcomes for our clients and enhance business performance. Your responsibilities will involve empowering companies to revamp their analytics and insights approach, optimize processes for efficiency, and enhance client satisfaction. A deep understanding of IT services, operational excellence, and client-centric solutions will be key to excelling in this role. **Key Responsibilities:** - Serve as the primary point of contact for client interactions, nurturing strong relationships. - Manage client escalations efficiently and ensure timely issue resolution. - Act as the face of the team during strategic client discussions, governance meetings, and regular interactions. - Lead the end-to-end delivery of managed data analytics services, ensuring adherence to business requirements, timelines, and quality standards. - Implement standardized processes and best practices to drive operational efficiency. - Collaborate with cross-functional teams to deliver comprehensive solutions. - Monitor, manage, and report service-level agreements (SLAs) and key performance indicators (KPIs). - Drive innovation and automation in data integration, processing, analysis, and reporting workflows. - Stay abreast of industry trends, emerging technologies, and regulatory requirements impacting managed services. - Ensure data security, privacy, and compliance with relevant standards and regulations. - Lead and mentor a team of service managers and technical professionals to foster high performance and continuous development. - Collaborate with sales teams to identify growth opportunities and expand services. - Experience in solutioning responses and operating models for RFPs. **Qualification Required:** - Bachelor's degree in information technology, Data Science, Computer Science, Statistics, or a related field (Masters degree preferred). - Minimum of 14 years of experience, with at least 3 years in a managerial or leadership role. - Proven experience in managing data analytics services for external clients, preferably within a managed services or consulting environment. - Proficiency in data analytics tools such as Power BI, Tableau, QlikView, Data Integration tools like ETL, Informatica, Talend, Snowflake, and programming languages like Python, R, SAS, SQL. - Strong understanding of Data & Analytics services cloud platforms (e.g., AWS, Azure, GCP), big data technologies like Hadoop, Spark, traditional Data warehousing tools like Teradata, Netezza, machine learning, AI, and automation in data analytics. - Certification in data-related disciplines preferred. - Demonstrated leadership abilities, project management skills, and excellent communication skills. This job offers you an exciting opportunity to lead and excel in a dynamic environment where you can contribute to the success of our clients through innovative analytics and insights solutions.,

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Software Engineer-1 Job Description Summary Senior Software Development Engineer (DW) Job Posting Title Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Mastercard is looking for a Senior Software Engineer to join the Account Level Management(ALM) team in our Pune office that’s focused on building ALM Services with Data warehouse skills. The Mastercard Account Level Management platform empowers real-time card level decisioning. As consumers progress along their life stages as card holders, with increasing disposable income and more refined preferences, ALM provides services to issuers so they can effectively offer more relevant benefits and rewards at each stage, to drive loyalty and spend. Role Develop high quality, secure and scalable data pipelines using spark, Scala/Python/Java on Hadoop or object storage like MinIO. Leverage technologies and solutions to innovate with increasingly large data sets. Drive automation and efficiency in Data ingestion, data movement and data access workflows by innovation and collaboration. Understand, implement and enforce Software development standards and engineering principles in the Big Data space. Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance standards and improve process efficiency. Perform assigned tasks and production incident independently. Skill Requirements: MUST Technical 5-9 years of experience in Data Warehouse/Data Lake/Lake House related projects in product or service-based organization Expertise in Data Engineering and implementing multiple end-to-end DW projects in Big Data environment handling petabyte scale data. Solid Experience of building complex data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge. Proficient in working within an Agile/Scrum framework, including creating user stories with well-defined acceptance criteria, participating in sprint planning and reviews Write and maintain Unix shell scripts, Oracle SQL, PL/SQL, and perform SQL tuning. Optimize and troubleshoot Spark applications for performance, scalability, and fault tolerance Use Git-based version control systems and CI/CD pipelines (e.g., Jenkins). Implement and manage HIVE external tables, partitions, and various file formats. Work across on-premises and cloud environments (AWS, Azure, Databricks). Strong experience with Hadoop ecosystem and Cloudera Data Platform (CDP). Optional Technical Experience of building Nifi pipelines (Preferred) Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan Strong communication skills - both verbal and written Ability to multi-task across multiple projects, interface with external / internal resources Proactive, detail-oriented and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results Willingness to quickly learn and implement new technologies, participate POC to explore best solution for the problem statement Experience working diverse and geographically distributed project teams Education: Bachelor’s degree in information systems, Information Technology, Computer Science or Engineering or equivalent work experience. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Software Development Engineer II Software Development Engineer (Data Engineering) Overview Mastercard is the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. Enterprise Data Solution (EDS) is focused on enabling insights into Mastercard network and help build data-driven products by curating and preparing data in a secure and reliable manner. Moving to a “Unified and Fault-Tolerant Architecture for Data Ingestion and Processing” is critical to achieving this mission. As a Software Development Engineer (Data Engineering) in Enterprise Data Solution (EDS), you will have the opportunity to build high performance data pipelines to load into Mastercard Data Warehouse. Our Data Warehouse provides analytical capabilities to number of business users who help different customers provide answer to their business problems through data. You will play a vital role within a rapidly growing organization, while working closely with experienced and driven engineers to solve challenging problems. Role Participant medium-to-large size data engineering projects Discover, ingest, and incorporate new sources of real-time, streaming, batch, and API-based data into our platform to enhance the insights we get from running tests and expand the ways and properties on which we can test Assist business in utilizing data-driven insights to drive growth and transformation. Build and maintain data processing workflows feeding Mastercard analytics domains. Facilitate reliable integrations with internal systems and third-party API's as needed. Support data analysts as needed, advising on data definitions and helping them derive meaning from complex datasets. Work with cross functional agile teams to drive projects through full development cycle. Help the team improve with the usage of data engineering best practices. Collaborate with other data engineering teams to improve the data engineering ecosystem and talent within Mastercard. All About You At least Bachelor's degree in Computer Science, Computer Engineering or Technology related field or equivalent work experience Experience in Data Warehouse related projects in product or service based organization Expertise in Data Engineering and implementing multiple end-to-end DW projects in Big Data environment Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge Additional experience of building data pipelines through Spark with Scala/Python/Java on Hadoop is preferred Experience of working on Nifi will be an added advantage Experience of working in Agile teams Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan Strong communication skills - both verbal and written – and strong relationship, collaboration skills and organizational skills Ability to be high-energy, detail-oriented, proactive and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results Ability to quickly learn and implement new technologies, and perform POC to explore best solution for the problem statement Flexibility to work as a member of a matrix based diverse and geographically distributed project teams Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Microsoft Industry Solution - Global Delivery Center (GDC) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 1000+ exceptional people, GDC presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The Principal Consultant is a senior leader responsible for the successful technical execution and delivery of complex client projects across diverse domains. This role acts as a strategic anchor between clients, architects, delivery managers, project managers, and delivery teams. In the AI-first GDC org, Principal Consultants are expected to embed AI-native thinking into delivery models, ensuring solutions are intelligent, scalable, and aligned with business outcomes. The ideal candidate is passionate about technology, demonstrates breadth of expertise, and advocates for solutions that deliver true client value. = 0 ? 'button' : 'presentation', 'aria-disabled': properties.TabIndex() >= 0 && viewState.displayMode() !== AppMagic.Constants.DisplayMode.Edit }, event: { click: handleClick }, shortcut: { provider: shortcutProvider, enabled: shortcutsEnabled }" data-shortcut-id="54863"> Responsibilities AI-First Delivery Leadership Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable. Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes. Drive engineering excellence through reusable components, accelerators, and scalable architecture. Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements. Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches. Act as a technical point of contact for clients, translating business requirements into scalable technical solutions. Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes. Engineering Excellence Champion high-quality engineering practices across all delivery engagements. Ensure adherence to coding standards, architectural integrity, and performance benchmarks. Promote secure coding, test-driven development, and observability as default practices. Encourage continuous learning and technical certifications to maintain cutting-edge expertise. Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD) to ensure robust and scalable solutions. Foster a culture of technical rigor, innovation, and accountability within the team. Innovation & Thought Leadership Monitor and evaluate emerging technologies to inform strategic direction. Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact. Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement. Client Engagement & Solutioning Engage with clients to understand business needs and provide expert guidance throughout the project lifecycle. Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals. Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery. Team Management & Mentorship Lead and mentor cross-functional teams, fostering a culture of learning, collaboration, and technical excellence. Conduct reviews, provide feedback, and support professional development of team members. Quality & Compliance Ensure all deliverables meet quality standards, security, and regulatory requirements. Promote secure coding, test-driven development, and observability as default practices. Strategic Partnering Serve as a strategic partner for internal and external stakeholders on key initiatives. Provide strategic guidance and execution oversight to ensure alignment with organizational goals. Other Embody our culture and values Qualifications 20+ years of Data Engineering experience and Strong Experience in driving Enterprise Data Architecture, Azure Data services, Machine learning Offerings, Platform Modernizations. Over 10 years of experience in designing and leading Data Warehouse, Lakehouse and analytical solutions using platforms such as Microsoft Fabric, Azure Synapse Analytics, Snowflake, and Teradata Strong Experience in large database solutions, on premises, cloud, and hybrid implementations Strong experience in Serverless Architecture/Microservices Strong experience of full application life cycle design tools and methodologies Strong experience in one or more technologies under each of the following Big Data stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight. Database Stack: Strong database experience with OLTP/OLAP, data storage mechanism and architecture, Columnar (RedShift, Vertica) OSS (MySQL, PostgreSQL and MariaDB) CosmosDB (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores) Level 400 knowledge in one (and preferably more) of the database engines, engine stack including engine level debugging for ex; CXPACKET analysis, Disk throttling, storage, IO contentions, Network contentions, performance optimizations. Strong experience in Data Engineering: Data Architecture: Dimensional Modelling, Lambda/Kappa architecture, Time series data Azure Stream Analytics, Azure Analysis ServiceMust have experience in two or more relational DBMS (Microsoft SQL, Azure Synapse and/or Oracle, Teradata, Netezza) Ability to design and drive large Data Migrations using necessary ETL technologies: ADF, SSIS, Talend, Pentaho, Informatica. Drive multi-tenant database designs, security hardening of the data platform. Expertise in implementation of Data governance practices using either open source or proprietary tools. Expertise in Data Ops Good experience in Agile Methodology & Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible. Industry experience in one or more of the following industries: automotive, energy, travel and transportation, financial services, government, health, manufacturing, media & communications, or retail/supply chain. Strong experience in AI/ML: Expertise in building and operationalizing ML pipelines, including feature engineering, model training, evaluation, and deployment (MLOps). Expertise in Azure ML and Open AI. Hands-on experience in Natural Language Processing, Document Intelligence & Indexing or Customer Vision or RAG Framework or AI Search Good understanding of Prompt Engineering Basics. Experience integrating AI models into enterprise data platforms and driving intelligent automation across business processes. Familiarity with Responsible AI principles, including fairness, interpretability, and governance of AI models. Nice To Have Skills Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalogue, Data Mesh and Data Modelling. Multi-cloud experience a plus - Azure, AWS, Google Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft Industry Solution - Global Delivery Center (GDC) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 1000+ exceptional people, GDC presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The Principal Consultant is a senior leader responsible for the successful technical execution and delivery of complex client projects across diverse domains. This role acts as a strategic anchor between clients, architects, delivery managers, project managers, and delivery teams. In the AI-first GDC org, Principal Consultants are expected to embed AI-native thinking into delivery models, ensuring solutions are intelligent, scalable, and aligned with business outcomes. The ideal candidate is passionate about technology, demonstrates breadth of expertise, and advocates for solutions that deliver true client value. = 0 ? 'button' : 'presentation', 'aria-disabled': properties.TabIndex() >= 0 && viewState.displayMode() !== AppMagic.Constants.DisplayMode.Edit }, event: { click: handleClick }, shortcut: { provider: shortcutProvider, enabled: shortcutsEnabled }" data-shortcut-id="54863"> Responsibilities AI-First Delivery Leadership Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable. Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes. Drive engineering excellence through reusable components, accelerators, and scalable architecture. Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements. Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches. Act as a technical point of contact for clients, translating business requirements into scalable technical solutions. Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes. Engineering Excellence Champion high-quality engineering practices across all delivery engagements. Ensure adherence to coding standards, architectural integrity, and performance benchmarks. Promote secure coding, test-driven development, and observability as default practices. Encourage continuous learning and technical certifications to maintain cutting-edge expertise. Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD) to ensure robust and scalable solutions. Foster a culture of technical rigor, innovation, and accountability within the team. Innovation & Thought Leadership Monitor and evaluate emerging technologies to inform strategic direction. Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact. Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement. Client Engagement & Solutioning Engage with clients to understand business needs and provide expert guidance throughout the project lifecycle. Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals. Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery. Team Management & Mentorship Lead and mentor cross-functional teams, fostering a culture of learning, collaboration, and technical excellence. Conduct reviews, provide feedback, and support professional development of team members. Quality & Compliance Ensure all deliverables meet quality standards, security, and regulatory requirements. Promote secure coding, test-driven development, and observability as default practices. Strategic Partnering Serve as a strategic partner for internal and external stakeholders on key initiatives. Provide strategic guidance and execution oversight to ensure alignment with organizational goals. Other Embody our culture and values Qualifications 20+ years of Data Engineering experience and Strong Experience in driving Enterprise Data Architecture, Azure Data services, Machine learning Offerings, Platform Modernizations. Over 10 years of experience in designing and leading Data Warehouse, Lakehouse and analytical solutions using platforms such as Microsoft Fabric, Azure Synapse Analytics, Snowflake, and Teradata Strong Experience in large database solutions, on premises, cloud, and hybrid implementations Strong experience in Serverless Architecture/Microservices Strong experience of full application life cycle design tools and methodologies Strong experience in one or more technologies under each of the following Big Data stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight. Database Stack: Strong database experience with OLTP/OLAP, data storage mechanism and architecture, Columnar (RedShift, Vertica) OSS (MySQL, PostgreSQL and MariaDB) CosmosDB (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores) Level 400 knowledge in one (and preferably more) of the database engines, engine stack including engine level debugging for ex; CXPACKET analysis, Disk throttling, storage, IO contentions, Network contentions, performance optimizations. Strong experience in Data Engineering: Data Architecture: Dimensional Modelling, Lambda/Kappa architecture, Time series data Azure Stream Analytics, Azure Analysis ServiceMust have experience in two or more relational DBMS (Microsoft SQL, Azure Synapse and/or Oracle, Teradata, Netezza) Ability to design and drive large Data Migrations using necessary ETL technologies: ADF, SSIS, Talend, Pentaho, Informatica. Drive multi-tenant database designs, security hardening of the data platform. Expertise in implementation of Data governance practices using either open source or proprietary tools. Expertise in Data Ops Good experience in Agile Methodology & Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible. Industry experience in one or more of the following industries: automotive, energy, travel and transportation, financial services, government, health, manufacturing, media & communications, or retail/supply chain. Strong experience in AI/ML: Expertise in building and operationalizing ML pipelines, including feature engineering, model training, evaluation, and deployment (MLOps). Expertise in Azure ML and Open AI. Hands-on experience in Natural Language Processing, Document Intelligence & Indexing or Customer Vision or RAG Framework or AI Search Good understanding of Prompt Engineering Basics. Experience integrating AI models into enterprise data platforms and driving intelligent automation across business processes. Familiarity with Responsible AI principles, including fairness, interpretability, and governance of AI models. Nice To Have Skills Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalogue, Data Mesh and Data Modelling. Multi-cloud experience a plus - Azure, AWS, Google Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft Industry Solution - Global Delivery Center (GDC) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 1000+ exceptional people, GDC presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The Principal Consultant is a senior leader responsible for the successful technical execution and delivery of complex client projects across diverse domains. This role acts as a strategic anchor between clients, architects, delivery managers, project managers, and delivery teams. In the AI-first GDC org, Principal Consultants are expected to embed AI-native thinking into delivery models, ensuring solutions are intelligent, scalable, and aligned with business outcomes. The ideal candidate is passionate about technology, demonstrates breadth of expertise, and advocates for solutions that deliver true client value. = 0 ? 'button' : 'presentation', 'aria-disabled': properties.TabIndex() >= 0 && viewState.displayMode() !== AppMagic.Constants.DisplayMode.Edit }, event: { click: handleClick }, shortcut: { provider: shortcutProvider, enabled: shortcutsEnabled }" data-shortcut-id="54863"> Responsibilities AI-First Delivery Leadership Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable. Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes. Drive engineering excellence through reusable components, accelerators, and scalable architecture. Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements. Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches. Act as a technical point of contact for clients, translating business requirements into scalable technical solutions. Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes. Engineering Excellence Champion high-quality engineering practices across all delivery engagements. Ensure adherence to coding standards, architectural integrity, and performance benchmarks. Promote secure coding, test-driven development, and observability as default practices. Encourage continuous learning and technical certifications to maintain cutting-edge expertise. Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD) to ensure robust and scalable solutions. Foster a culture of technical rigor, innovation, and accountability within the team. Innovation & Thought Leadership Monitor and evaluate emerging technologies to inform strategic direction. Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact. Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement. Client Engagement & Solutioning Engage with clients to understand business needs and provide expert guidance throughout the project lifecycle. Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals. Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery. Team Management & Mentorship Lead and mentor cross-functional teams, fostering a culture of learning, collaboration, and technical excellence. Conduct reviews, provide feedback, and support professional development of team members. Quality & Compliance Ensure all deliverables meet quality standards, security, and regulatory requirements. Promote secure coding, test-driven development, and observability as default practices. Strategic Partnering Serve as a strategic partner for internal and external stakeholders on key initiatives. Provide strategic guidance and execution oversight to ensure alignment with organizational goals. Other Embody our culture and values Qualifications 20+ years of Data Engineering experience and Strong Experience in driving Enterprise Data Architecture, Azure Data services, Machine learning Offerings, Platform Modernizations. Over 10 years of experience in designing and leading Data Warehouse, Lakehouse and analytical solutions using platforms such as Microsoft Fabric, Azure Synapse Analytics, Snowflake, and Teradata Strong Experience in large database solutions, on premises, cloud, and hybrid implementations Strong experience in Serverless Architecture/Microservices Strong experience of full application life cycle design tools and methodologies Strong experience in one or more technologies under each of the following Big Data stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight. Database Stack: Strong database experience with OLTP/OLAP, data storage mechanism and architecture, Columnar (RedShift, Vertica) OSS (MySQL, PostgreSQL and MariaDB) CosmosDB (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores) Level 400 knowledge in one (and preferably more) of the database engines, engine stack including engine level debugging for ex; CXPACKET analysis, Disk throttling, storage, IO contentions, Network contentions, performance optimizations. Strong experience in Data Engineering: Data Architecture: Dimensional Modelling, Lambda/Kappa architecture, Time series data Azure Stream Analytics, Azure Analysis ServiceMust have experience in two or more relational DBMS (Microsoft SQL, Azure Synapse and/or Oracle, Teradata, Netezza) Ability to design and drive large Data Migrations using necessary ETL technologies: ADF, SSIS, Talend, Pentaho, Informatica. Drive multi-tenant database designs, security hardening of the data platform. Expertise in implementation of Data governance practices using either open source or proprietary tools. Expertise in Data Ops Good experience in Agile Methodology & Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible. Industry experience in one or more of the following industries: automotive, energy, travel and transportation, financial services, government, health, manufacturing, media & communications, or retail/supply chain. Strong experience in AI/ML: Expertise in building and operationalizing ML pipelines, including feature engineering, model training, evaluation, and deployment (MLOps). Expertise in Azure ML and Open AI. Hands-on experience in Natural Language Processing, Document Intelligence & Indexing or Customer Vision or RAG Framework or AI Search Good understanding of Prompt Engineering Basics. Experience integrating AI models into enterprise data platforms and driving intelligent automation across business processes. Familiarity with Responsible AI principles, including fairness, interpretability, and governance of AI models. Nice To Have Skills Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalogue, Data Mesh and Data Modelling. Multi-cloud experience a plus - Azure, AWS, Google Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft Industry Solution - Global Delivery Center (GDC) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 1000+ exceptional people, GDC presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The Principal Consultant is a senior leader responsible for the successful technical execution and delivery of complex client projects across diverse domains. This role acts as a strategic anchor between clients, architects, delivery managers, project managers, and delivery teams. In the AI-first GDC org, Principal Consultants are expected to embed AI-native thinking into delivery models, ensuring solutions are intelligent, scalable, and aligned with business outcomes. The ideal candidate is passionate about technology, demonstrates breadth of expertise, and advocates for solutions that deliver true client value. = 0 ? 'button' : 'presentation', 'aria-disabled': properties.TabIndex() >= 0 && viewState.displayMode() !== AppMagic.Constants.DisplayMode.Edit }, event: { click: handleClick }, shortcut: { provider: shortcutProvider, enabled: shortcutsEnabled }" data-shortcut-id="54863"> Responsibilities AI-First Delivery Leadership Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable. Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes. Drive engineering excellence through reusable components, accelerators, and scalable architecture. Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements. Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches. Act as a technical point of contact for clients, translating business requirements into scalable technical solutions. Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes. Engineering Excellence Champion high-quality engineering practices across all delivery engagements. Ensure adherence to coding standards, architectural integrity, and performance benchmarks. Promote secure coding, test-driven development, and observability as default practices. Encourage continuous learning and technical certifications to maintain cutting-edge expertise. Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD) to ensure robust and scalable solutions. Foster a culture of technical rigor, innovation, and accountability within the team. Innovation & Thought Leadership Monitor and evaluate emerging technologies to inform strategic direction. Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact. Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement. Client Engagement & Solutioning Engage with clients to understand business needs and provide expert guidance throughout the project lifecycle. Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals. Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery. Team Management & Mentorship Lead and mentor cross-functional teams, fostering a culture of learning, collaboration, and technical excellence. Conduct reviews, provide feedback, and support professional development of team members. Quality & Compliance Ensure all deliverables meet quality standards, security, and regulatory requirements. Promote secure coding, test-driven development, and observability as default practices. Strategic Partnering Serve as a strategic partner for internal and external stakeholders on key initiatives. Provide strategic guidance and execution oversight to ensure alignment with organizational goals. Other Embody our culture and values Qualifications 20+ years of Data Engineering experience and Strong Experience in driving Enterprise Data Architecture, Azure Data services, Machine learning Offerings, Platform Modernizations. Over 10 years of experience in designing and leading Data Warehouse, Lakehouse and analytical solutions using platforms such as Microsoft Fabric, Azure Synapse Analytics, Snowflake, and Teradata Strong Experience in large database solutions, on premises, cloud, and hybrid implementations Strong experience in Serverless Architecture/Microservices Strong experience of full application life cycle design tools and methodologies Strong experience in one or more technologies under each of the following Big Data stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight. Database Stack: Strong database experience with OLTP/OLAP, data storage mechanism and architecture, Columnar (RedShift, Vertica) OSS (MySQL, PostgreSQL and MariaDB) CosmosDB (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores) Level 400 knowledge in one (and preferably more) of the database engines, engine stack including engine level debugging for ex; CXPACKET analysis, Disk throttling, storage, IO contentions, Network contentions, performance optimizations. Strong experience in Data Engineering: Data Architecture: Dimensional Modelling, Lambda/Kappa architecture, Time series data Azure Stream Analytics, Azure Analysis ServiceMust have experience in two or more relational DBMS (Microsoft SQL, Azure Synapse and/or Oracle, Teradata, Netezza) Ability to design and drive large Data Migrations using necessary ETL technologies: ADF, SSIS, Talend, Pentaho, Informatica. Drive multi-tenant database designs, security hardening of the data platform. Expertise in implementation of Data governance practices using either open source or proprietary tools. Expertise in Data Ops Good experience in Agile Methodology & Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible. Industry experience in one or more of the following industries: automotive, energy, travel and transportation, financial services, government, health, manufacturing, media & communications, or retail/supply chain. Strong experience in AI/ML: Expertise in building and operationalizing ML pipelines, including feature engineering, model training, evaluation, and deployment (MLOps). Expertise in Azure ML and Open AI. Hands-on experience in Natural Language Processing, Document Intelligence & Indexing or Customer Vision or RAG Framework or AI Search Good understanding of Prompt Engineering Basics. Experience integrating AI models into enterprise data platforms and driving intelligent automation across business processes. Familiarity with Responsible AI principles, including fairness, interpretability, and governance of AI models. Nice To Have Skills Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalogue, Data Mesh and Data Modelling. Multi-cloud experience a plus - Azure, AWS, Google Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft Industry Solution - Global Delivery Center (GDC) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 1000+ exceptional people, GDC presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The Principal Consultant is a senior leader responsible for the successful technical execution and delivery of complex client projects across diverse domains. This role acts as a strategic anchor between clients, architects, delivery managers, project managers, and delivery teams. In the AI-first GDC org, Principal Consultants are expected to embed AI-native thinking into delivery models, ensuring solutions are intelligent, scalable, and aligned with business outcomes. The ideal candidate is passionate about technology, demonstrates breadth of expertise, and advocates for solutions that deliver true client value. = 0 ? 'button' : 'presentation', 'aria-disabled': properties.TabIndex() >= 0 && viewState.displayMode() !== AppMagic.Constants.DisplayMode.Edit }, event: { click: handleClick }, shortcut: { provider: shortcutProvider, enabled: shortcutsEnabled }" data-shortcut-id="54863"> Responsibilities AI-First Delivery Leadership Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable. Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes. Drive engineering excellence through reusable components, accelerators, and scalable architecture. Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements. Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches. Act as a technical point of contact for clients, translating business requirements into scalable technical solutions. Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes. Engineering Excellence Champion high-quality engineering practices across all delivery engagements. Ensure adherence to coding standards, architectural integrity, and performance benchmarks. Promote secure coding, test-driven development, and observability as default practices. Encourage continuous learning and technical certifications to maintain cutting-edge expertise. Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD) to ensure robust and scalable solutions. Foster a culture of technical rigor, innovation, and accountability within the team. Innovation & Thought Leadership Monitor and evaluate emerging technologies to inform strategic direction. Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact. Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement. Client Engagement & Solutioning Engage with clients to understand business needs and provide expert guidance throughout the project lifecycle. Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals. Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery. Team Management & Mentorship Lead and mentor cross-functional teams, fostering a culture of learning, collaboration, and technical excellence. Conduct reviews, provide feedback, and support professional development of team members. Quality & Compliance Ensure all deliverables meet quality standards, security, and regulatory requirements. Promote secure coding, test-driven development, and observability as default practices. Strategic Partnering Serve as a strategic partner for internal and external stakeholders on key initiatives. Provide strategic guidance and execution oversight to ensure alignment with organizational goals. Other Embody our culture and values Qualifications 20+ years of Data Engineering experience and Strong Experience in driving Enterprise Data Architecture, Azure Data services, Machine learning Offerings, Platform Modernizations. Over 10 years of experience in designing and leading Data Warehouse, Lakehouse and analytical solutions using platforms such as Microsoft Fabric, Azure Synapse Analytics, Snowflake, and Teradata Strong Experience in large database solutions, on premises, cloud, and hybrid implementations Strong experience in Serverless Architecture/Microservices Strong experience of full application life cycle design tools and methodologies Strong experience in one or more technologies under each of the following Big Data stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight. Database Stack: Strong database experience with OLTP/OLAP, data storage mechanism and architecture, Columnar (RedShift, Vertica) OSS (MySQL, PostgreSQL and MariaDB) CosmosDB (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores) Level 400 knowledge in one (and preferably more) of the database engines, engine stack including engine level debugging for ex; CXPACKET analysis, Disk throttling, storage, IO contentions, Network contentions, performance optimizations. Strong experience in Data Engineering: Data Architecture: Dimensional Modelling, Lambda/Kappa architecture, Time series data Azure Stream Analytics, Azure Analysis ServiceMust have experience in two or more relational DBMS (Microsoft SQL, Azure Synapse and/or Oracle, Teradata, Netezza) Ability to design and drive large Data Migrations using necessary ETL technologies: ADF, SSIS, Talend, Pentaho, Informatica. Drive multi-tenant database designs, security hardening of the data platform. Expertise in implementation of Data governance practices using either open source or proprietary tools. Expertise in Data Ops Good experience in Agile Methodology & Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible. Industry experience in one or more of the following industries: automotive, energy, travel and transportation, financial services, government, health, manufacturing, media & communications, or retail/supply chain. Strong experience in AI/ML: Expertise in building and operationalizing ML pipelines, including feature engineering, model training, evaluation, and deployment (MLOps). Expertise in Azure ML and Open AI. Hands-on experience in Natural Language Processing, Document Intelligence & Indexing or Customer Vision or RAG Framework or AI Search Good understanding of Prompt Engineering Basics. Experience integrating AI models into enterprise data platforms and driving intelligent automation across business processes. Familiarity with Responsible AI principles, including fairness, interpretability, and governance of AI models. Nice To Have Skills Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalogue, Data Mesh and Data Modelling. Multi-cloud experience a plus - Azure, AWS, Google Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft Industry Solution - Global Delivery Center (GDC) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 1000+ exceptional people, GDC presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The Principal Consultant is a senior leader responsible for the successful technical execution and delivery of complex client projects across diverse domains. This role acts as a strategic anchor between clients, architects, delivery managers, project managers, and delivery teams. In the AI-first GDC org, Principal Consultants are expected to embed AI-native thinking into delivery models, ensuring solutions are intelligent, scalable, and aligned with business outcomes. The ideal candidate is passionate about technology, demonstrates breadth of expertise, and advocates for solutions that deliver true client value. = 0 ? 'button' : 'presentation', 'aria-disabled': properties.TabIndex() >= 0 && viewState.displayMode() !== AppMagic.Constants.DisplayMode.Edit }, event: { click: handleClick }, shortcut: { provider: shortcutProvider, enabled: shortcutsEnabled }" data-shortcut-id="54863"> Responsibilities AI-First Delivery Leadership Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable. Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes. Drive engineering excellence through reusable components, accelerators, and scalable architecture. Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements. Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches. Act as a technical point of contact for clients, translating business requirements into scalable technical solutions. Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes. Engineering Excellence Champion high-quality engineering practices across all delivery engagements. Ensure adherence to coding standards, architectural integrity, and performance benchmarks. Promote secure coding, test-driven development, and observability as default practices. Encourage continuous learning and technical certifications to maintain cutting-edge expertise. Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD) to ensure robust and scalable solutions. Foster a culture of technical rigor, innovation, and accountability within the team. Innovation & Thought Leadership Monitor and evaluate emerging technologies to inform strategic direction. Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact. Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement. Client Engagement & Solutioning Engage with clients to understand business needs and provide expert guidance throughout the project lifecycle. Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals. Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery. Team Management & Mentorship Lead and mentor cross-functional teams, fostering a culture of learning, collaboration, and technical excellence. Conduct reviews, provide feedback, and support professional development of team members. Quality & Compliance Ensure all deliverables meet quality standards, security, and regulatory requirements. Promote secure coding, test-driven development, and observability as default practices. Strategic Partnering Serve as a strategic partner for internal and external stakeholders on key initiatives. Provide strategic guidance and execution oversight to ensure alignment with organizational goals. Other Embody our culture and values Qualifications 20+ years of Data Engineering experience and Strong Experience in driving Enterprise Data Architecture, Azure Data services, Machine learning Offerings, Platform Modernizations. Over 10 years of experience in designing and leading Data Warehouse, Lakehouse and analytical solutions using platforms such as Microsoft Fabric, Azure Synapse Analytics, Snowflake, and Teradata Strong Experience in large database solutions, on premises, cloud, and hybrid implementations Strong experience in Serverless Architecture/Microservices Strong experience of full application life cycle design tools and methodologies Strong experience in one or more technologies under each of the following Big Data stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight. Database Stack: Strong database experience with OLTP/OLAP, data storage mechanism and architecture, Columnar (RedShift, Vertica) OSS (MySQL, PostgreSQL and MariaDB) CosmosDB (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores) Level 400 knowledge in one (and preferably more) of the database engines, engine stack including engine level debugging for ex; CXPACKET analysis, Disk throttling, storage, IO contentions, Network contentions, performance optimizations. Strong experience in Data Engineering: Data Architecture: Dimensional Modelling, Lambda/Kappa architecture, Time series data Azure Stream Analytics, Azure Analysis ServiceMust have experience in two or more relational DBMS (Microsoft SQL, Azure Synapse and/or Oracle, Teradata, Netezza) Ability to design and drive large Data Migrations using necessary ETL technologies: ADF, SSIS, Talend, Pentaho, Informatica. Drive multi-tenant database designs, security hardening of the data platform. Expertise in implementation of Data governance practices using either open source or proprietary tools. Expertise in Data Ops Good experience in Agile Methodology & Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible. Industry experience in one or more of the following industries: automotive, energy, travel and transportation, financial services, government, health, manufacturing, media & communications, or retail/supply chain. Strong experience in AI/ML: Expertise in building and operationalizing ML pipelines, including feature engineering, model training, evaluation, and deployment (MLOps). Expertise in Azure ML and Open AI. Hands-on experience in Natural Language Processing, Document Intelligence & Indexing or Customer Vision or RAG Framework or AI Search Good understanding of Prompt Engineering Basics. Experience integrating AI models into enterprise data platforms and driving intelligent automation across business processes. Familiarity with Responsible AI principles, including fairness, interpretability, and governance of AI models. Nice To Have Skills Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalogue, Data Mesh and Data Modelling. Multi-cloud experience a plus - Azure, AWS, Google Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft Industry Solution - Global Delivery Center (GDC) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 1000+ exceptional people, GDC presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The Principal Consultant is a senior leader responsible for the successful technical execution and delivery of complex client projects across diverse domains. This role acts as a strategic anchor between clients, architects, delivery managers, project managers, and delivery teams. In the AI-first GDC org, Principal Consultants are expected to embed AI-native thinking into delivery models, ensuring solutions are intelligent, scalable, and aligned with business outcomes. The ideal candidate is passionate about technology, demonstrates breadth of expertise, and advocates for solutions that deliver true client value. = 0 ? 'button' : 'presentation', 'aria-disabled': properties.TabIndex() >= 0 && viewState.displayMode() !== AppMagic.Constants.DisplayMode.Edit }, event: { click: handleClick }, shortcut: { provider: shortcutProvider, enabled: shortcutsEnabled }" data-shortcut-id="54863"> Responsibilities AI-First Delivery Leadership Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable. Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes. Drive engineering excellence through reusable components, accelerators, and scalable architecture. Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements. Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches. Act as a technical point of contact for clients, translating business requirements into scalable technical solutions. Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes. Engineering Excellence Champion high-quality engineering practices across all delivery engagements. Ensure adherence to coding standards, architectural integrity, and performance benchmarks. Promote secure coding, test-driven development, and observability as default practices. Encourage continuous learning and technical certifications to maintain cutting-edge expertise. Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD) to ensure robust and scalable solutions. Foster a culture of technical rigor, innovation, and accountability within the team. Innovation & Thought Leadership Monitor and evaluate emerging technologies to inform strategic direction. Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact. Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement. Client Engagement & Solutioning Engage with clients to understand business needs and provide expert guidance throughout the project lifecycle. Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals. Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery. Team Management & Mentorship Lead and mentor cross-functional teams, fostering a culture of learning, collaboration, and technical excellence. Conduct reviews, provide feedback, and support professional development of team members. Quality & Compliance Ensure all deliverables meet quality standards, security, and regulatory requirements. Promote secure coding, test-driven development, and observability as default practices. Strategic Partnering Serve as a strategic partner for internal and external stakeholders on key initiatives. Provide strategic guidance and execution oversight to ensure alignment with organizational goals. Other Embody our culture and values Qualifications 20+ years of Data Engineering experience and Strong Experience in driving Enterprise Data Architecture, Azure Data services, Machine learning Offerings, Platform Modernizations. Over 10 years of experience in designing and leading Data Warehouse, Lakehouse and analytical solutions using platforms such as Microsoft Fabric, Azure Synapse Analytics, Snowflake, and Teradata Strong Experience in large database solutions, on premises, cloud, and hybrid implementations Strong experience in Serverless Architecture/Microservices Strong experience of full application life cycle design tools and methodologies Strong experience in one or more technologies under each of the following Big Data stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight. Database Stack: Strong database experience with OLTP/OLAP, data storage mechanism and architecture, Columnar (RedShift, Vertica) OSS (MySQL, PostgreSQL and MariaDB) CosmosDB (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores) Level 400 knowledge in one (and preferably more) of the database engines, engine stack including engine level debugging for ex; CXPACKET analysis, Disk throttling, storage, IO contentions, Network contentions, performance optimizations. Strong experience in Data Engineering: Data Architecture: Dimensional Modelling, Lambda/Kappa architecture, Time series data Azure Stream Analytics, Azure Analysis ServiceMust have experience in two or more relational DBMS (Microsoft SQL, Azure Synapse and/or Oracle, Teradata, Netezza) Ability to design and drive large Data Migrations using necessary ETL technologies: ADF, SSIS, Talend, Pentaho, Informatica. Drive multi-tenant database designs, security hardening of the data platform. Expertise in implementation of Data governance practices using either open source or proprietary tools. Expertise in Data Ops Good experience in Agile Methodology & Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible. Industry experience in one or more of the following industries: automotive, energy, travel and transportation, financial services, government, health, manufacturing, media & communications, or retail/supply chain. Strong experience in AI/ML: Expertise in building and operationalizing ML pipelines, including feature engineering, model training, evaluation, and deployment (MLOps). Expertise in Azure ML and Open AI. Hands-on experience in Natural Language Processing, Document Intelligence & Indexing or Customer Vision or RAG Framework or AI Search Good understanding of Prompt Engineering Basics. Experience integrating AI models into enterprise data platforms and driving intelligent automation across business processes. Familiarity with Responsible AI principles, including fairness, interpretability, and governance of AI models. Nice To Have Skills Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalogue, Data Mesh and Data Modelling. Multi-cloud experience a plus - Azure, AWS, Google Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft Industry Solution - Global Delivery Center (GDC) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 1000+ exceptional people, GDC presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The Principal Consultant is a senior leader responsible for the successful technical execution and delivery of complex client projects across diverse domains. This role acts as a strategic anchor between clients, architects, delivery managers, project managers, and delivery teams. In the AI-first GDC org, Principal Consultants are expected to embed AI-native thinking into delivery models, ensuring solutions are intelligent, scalable, and aligned with business outcomes. The ideal candidate is passionate about technology, demonstrates breadth of expertise, and advocates for solutions that deliver true client value. = 0 ? 'button' : 'presentation', 'aria-disabled': properties.TabIndex() >= 0 && viewState.displayMode() !== AppMagic.Constants.DisplayMode.Edit }, event: { click: handleClick }, shortcut: { provider: shortcutProvider, enabled: shortcutsEnabled }" data-shortcut-id="54863"> Responsibilities AI-First Delivery Leadership Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable. Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes. Drive engineering excellence through reusable components, accelerators, and scalable architecture. Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements. Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches. Act as a technical point of contact for clients, translating business requirements into scalable technical solutions. Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes. Engineering Excellence Champion high-quality engineering practices across all delivery engagements. Ensure adherence to coding standards, architectural integrity, and performance benchmarks. Promote secure coding, test-driven development, and observability as default practices. Encourage continuous learning and technical certifications to maintain cutting-edge expertise. Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD) to ensure robust and scalable solutions. Foster a culture of technical rigor, innovation, and accountability within the team. Innovation & Thought Leadership Monitor and evaluate emerging technologies to inform strategic direction. Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact. Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement. Client Engagement & Solutioning Engage with clients to understand business needs and provide expert guidance throughout the project lifecycle. Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals. Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery. Team Management & Mentorship Lead and mentor cross-functional teams, fostering a culture of learning, collaboration, and technical excellence. Conduct reviews, provide feedback, and support professional development of team members. Quality & Compliance Ensure all deliverables meet quality standards, security, and regulatory requirements. Promote secure coding, test-driven development, and observability as default practices. Strategic Partnering Serve as a strategic partner for internal and external stakeholders on key initiatives. Provide strategic guidance and execution oversight to ensure alignment with organizational goals. Other Embody our culture and values Qualifications 20+ years of Data Engineering experience and Strong Experience in driving Enterprise Data Architecture, Azure Data services, Machine learning Offerings, Platform Modernizations. Over 10 years of experience in designing and leading Data Warehouse, Lakehouse and analytical solutions using platforms such as Microsoft Fabric, Azure Synapse Analytics, Snowflake, and Teradata Strong Experience in large database solutions, on premises, cloud, and hybrid implementations Strong experience in Serverless Architecture/Microservices Strong experience of full application life cycle design tools and methodologies Strong experience in one or more technologies under each of the following Big Data stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight. Database Stack: Strong database experience with OLTP/OLAP, data storage mechanism and architecture, Columnar (RedShift, Vertica) OSS (MySQL, PostgreSQL and MariaDB) CosmosDB (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores) Level 400 knowledge in one (and preferably more) of the database engines, engine stack including engine level debugging for ex; CXPACKET analysis, Disk throttling, storage, IO contentions, Network contentions, performance optimizations. Strong experience in Data Engineering: Data Architecture: Dimensional Modelling, Lambda/Kappa architecture, Time series data Azure Stream Analytics, Azure Analysis ServiceMust have experience in two or more relational DBMS (Microsoft SQL, Azure Synapse and/or Oracle, Teradata, Netezza) Ability to design and drive large Data Migrations using necessary ETL technologies: ADF, SSIS, Talend, Pentaho, Informatica. Drive multi-tenant database designs, security hardening of the data platform. Expertise in implementation of Data governance practices using either open source or proprietary tools. Expertise in Data Ops Good experience in Agile Methodology & Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible. Industry experience in one or more of the following industries: automotive, energy, travel and transportation, financial services, government, health, manufacturing, media & communications, or retail/supply chain. Strong experience in AI/ML: Expertise in building and operationalizing ML pipelines, including feature engineering, model training, evaluation, and deployment (MLOps). Expertise in Azure ML and Open AI. Hands-on experience in Natural Language Processing, Document Intelligence & Indexing or Customer Vision or RAG Framework or AI Search Good understanding of Prompt Engineering Basics. Experience integrating AI models into enterprise data platforms and driving intelligent automation across business processes. Familiarity with Responsible AI principles, including fairness, interpretability, and governance of AI models. Nice To Have Skills Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalogue, Data Mesh and Data Modelling. Multi-cloud experience a plus - Azure, AWS, Google Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft Industry Solution - Global Delivery Center (GDC) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 1000+ exceptional people, GDC presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The Principal Consultant is a senior leader responsible for the successful technical execution and delivery of complex client projects across diverse domains. This role acts as a strategic anchor between clients, architects, delivery managers, project managers, and delivery teams. In the AI-first GDC org, Principal Consultants are expected to embed AI-native thinking into delivery models, ensuring solutions are intelligent, scalable, and aligned with business outcomes. The ideal candidate is passionate about technology, demonstrates breadth of expertise, and advocates for solutions that deliver true client value. = 0 ? 'button' : 'presentation', 'aria-disabled': properties.TabIndex() >= 0 && viewState.displayMode() !== AppMagic.Constants.DisplayMode.Edit }, event: { click: handleClick }, shortcut: { provider: shortcutProvider, enabled: shortcutsEnabled }" data-shortcut-id="54863"> Responsibilities AI-First Delivery Leadership Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable. Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes. Drive engineering excellence through reusable components, accelerators, and scalable architecture. Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements. Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches. Act as a technical point of contact for clients, translating business requirements into scalable technical solutions. Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes. Engineering Excellence Champion high-quality engineering practices across all delivery engagements. Ensure adherence to coding standards, architectural integrity, and performance benchmarks. Promote secure coding, test-driven development, and observability as default practices. Encourage continuous learning and technical certifications to maintain cutting-edge expertise. Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD) to ensure robust and scalable solutions. Foster a culture of technical rigor, innovation, and accountability within the team. Innovation & Thought Leadership Monitor and evaluate emerging technologies to inform strategic direction. Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact. Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement. Client Engagement & Solutioning Engage with clients to understand business needs and provide expert guidance throughout the project lifecycle. Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals. Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery. Team Management & Mentorship Lead and mentor cross-functional teams, fostering a culture of learning, collaboration, and technical excellence. Conduct reviews, provide feedback, and support professional development of team members. Quality & Compliance Ensure all deliverables meet quality standards, security, and regulatory requirements. Promote secure coding, test-driven development, and observability as default practices. Strategic Partnering Serve as a strategic partner for internal and external stakeholders on key initiatives. Provide strategic guidance and execution oversight to ensure alignment with organizational goals. Other Embody our culture and values Qualifications 20+ years of Data Engineering experience and Strong Experience in driving Enterprise Data Architecture, Azure Data services, Machine learning Offerings, Platform Modernizations. Over 10 years of experience in designing and leading Data Warehouse, Lakehouse and analytical solutions using platforms such as Microsoft Fabric, Azure Synapse Analytics, Snowflake, and Teradata Strong Experience in large database solutions, on premises, cloud, and hybrid implementations Strong experience in Serverless Architecture/Microservices Strong experience of full application life cycle design tools and methodologies Strong experience in one or more technologies under each of the following Big Data stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight. Database Stack: Strong database experience with OLTP/OLAP, data storage mechanism and architecture, Columnar (RedShift, Vertica) OSS (MySQL, PostgreSQL and MariaDB) CosmosDB (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores) Level 400 knowledge in one (and preferably more) of the database engines, engine stack including engine level debugging for ex; CXPACKET analysis, Disk throttling, storage, IO contentions, Network contentions, performance optimizations. Strong experience in Data Engineering: Data Architecture: Dimensional Modelling, Lambda/Kappa architecture, Time series data Azure Stream Analytics, Azure Analysis ServiceMust have experience in two or more relational DBMS (Microsoft SQL, Azure Synapse and/or Oracle, Teradata, Netezza) Ability to design and drive large Data Migrations using necessary ETL technologies: ADF, SSIS, Talend, Pentaho, Informatica. Drive multi-tenant database designs, security hardening of the data platform. Expertise in implementation of Data governance practices using either open source or proprietary tools. Expertise in Data Ops Good experience in Agile Methodology & Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible. Industry experience in one or more of the following industries: automotive, energy, travel and transportation, financial services, government, health, manufacturing, media & communications, or retail/supply chain. Strong experience in AI/ML: Expertise in building and operationalizing ML pipelines, including feature engineering, model training, evaluation, and deployment (MLOps). Expertise in Azure ML and Open AI. Hands-on experience in Natural Language Processing, Document Intelligence & Indexing or Customer Vision or RAG Framework or AI Search Good understanding of Prompt Engineering Basics. Experience integrating AI models into enterprise data platforms and driving intelligent automation across business processes. Familiarity with Responsible AI principles, including fairness, interpretability, and governance of AI models. Nice To Have Skills Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalogue, Data Mesh and Data Modelling. Multi-cloud experience a plus - Azure, AWS, Google Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft Industry Solution - Global Delivery Center (GDC) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 1000+ exceptional people, GDC presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The Principal Consultant is a senior leader responsible for the successful technical execution and delivery of complex client projects across diverse domains. This role acts as a strategic anchor between clients, architects, delivery managers, project managers, and delivery teams. In the AI-first GDC org, Principal Consultants are expected to embed AI-native thinking into delivery models, ensuring solutions are intelligent, scalable, and aligned with business outcomes. The ideal candidate is passionate about technology, demonstrates breadth of expertise, and advocates for solutions that deliver true client value. = 0 ? 'button' : 'presentation', 'aria-disabled': properties.TabIndex() >= 0 && viewState.displayMode() !== AppMagic.Constants.DisplayMode.Edit }, event: { click: handleClick }, shortcut: { provider: shortcutProvider, enabled: shortcutsEnabled }" data-shortcut-id="54863"> Responsibilities AI-First Delivery Leadership Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable. Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes. Drive engineering excellence through reusable components, accelerators, and scalable architecture. Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements. Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches. Act as a technical point of contact for clients, translating business requirements into scalable technical solutions. Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes. Engineering Excellence Champion high-quality engineering practices across all delivery engagements. Ensure adherence to coding standards, architectural integrity, and performance benchmarks. Promote secure coding, test-driven development, and observability as default practices. Encourage continuous learning and technical certifications to maintain cutting-edge expertise. Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD) to ensure robust and scalable solutions. Foster a culture of technical rigor, innovation, and accountability within the team. Innovation & Thought Leadership Monitor and evaluate emerging technologies to inform strategic direction. Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact. Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement. Client Engagement & Solutioning Engage with clients to understand business needs and provide expert guidance throughout the project lifecycle. Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals. Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery. Team Management & Mentorship Lead and mentor cross-functional teams, fostering a culture of learning, collaboration, and technical excellence. Conduct reviews, provide feedback, and support professional development of team members. Quality & Compliance Ensure all deliverables meet quality standards, security, and regulatory requirements. Promote secure coding, test-driven development, and observability as default practices. Strategic Partnering Serve as a strategic partner for internal and external stakeholders on key initiatives. Provide strategic guidance and execution oversight to ensure alignment with organizational goals. Other Embody our culture and values Qualifications 20+ years of Data Engineering experience and Strong Experience in driving Enterprise Data Architecture, Azure Data services, Machine learning Offerings, Platform Modernizations. Over 10 years of experience in designing and leading Data Warehouse, Lakehouse and analytical solutions using platforms such as Microsoft Fabric, Azure Synapse Analytics, Snowflake, and Teradata Strong Experience in large database solutions, on premises, cloud, and hybrid implementations Strong experience in Serverless Architecture/Microservices Strong experience of full application life cycle design tools and methodologies Strong experience in one or more technologies under each of the following Big Data stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight. Database Stack: Strong database experience with OLTP/OLAP, data storage mechanism and architecture, Columnar (RedShift, Vertica) OSS (MySQL, PostgreSQL and MariaDB) CosmosDB (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores) Level 400 knowledge in one (and preferably more) of the database engines, engine stack including engine level debugging for ex; CXPACKET analysis, Disk throttling, storage, IO contentions, Network contentions, performance optimizations. Strong experience in Data Engineering: Data Architecture: Dimensional Modelling, Lambda/Kappa architecture, Time series data Azure Stream Analytics, Azure Analysis ServiceMust have experience in two or more relational DBMS (Microsoft SQL, Azure Synapse and/or Oracle, Teradata, Netezza) Ability to design and drive large Data Migrations using necessary ETL technologies: ADF, SSIS, Talend, Pentaho, Informatica. Drive multi-tenant database designs, security hardening of the data platform. Expertise in implementation of Data governance practices using either open source or proprietary tools. Expertise in Data Ops Good experience in Agile Methodology & Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible. Industry experience in one or more of the following industries: automotive, energy, travel and transportation, financial services, government, health, manufacturing, media & communications, or retail/supply chain. Strong experience in AI/ML: Expertise in building and operationalizing ML pipelines, including feature engineering, model training, evaluation, and deployment (MLOps). Expertise in Azure ML and Open AI. Hands-on experience in Natural Language Processing, Document Intelligence & Indexing or Customer Vision or RAG Framework or AI Search Good understanding of Prompt Engineering Basics. Experience integrating AI models into enterprise data platforms and driving intelligent automation across business processes. Familiarity with Responsible AI principles, including fairness, interpretability, and governance of AI models. Nice To Have Skills Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalogue, Data Mesh and Data Modelling. Multi-cloud experience a plus - Azure, AWS, Google Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft Industry Solution - Global Delivery Center (GDC) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 1000+ exceptional people, GDC presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The Principal Consultant is a senior leader responsible for the successful technical execution and delivery of complex client projects across diverse domains. This role acts as a strategic anchor between clients, architects, delivery managers, project managers, and delivery teams. In the AI-first GDC org, Principal Consultants are expected to embed AI-native thinking into delivery models, ensuring solutions are intelligent, scalable, and aligned with business outcomes. The ideal candidate is passionate about technology, demonstrates breadth of expertise, and advocates for solutions that deliver true client value. = 0 ? 'button' : 'presentation', 'aria-disabled': properties.TabIndex() >= 0 && viewState.displayMode() !== AppMagic.Constants.DisplayMode.Edit }, event: { click: handleClick }, shortcut: { provider: shortcutProvider, enabled: shortcutsEnabled }" data-shortcut-id="54863"> Responsibilities AI-First Delivery Leadership Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable. Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes. Drive engineering excellence through reusable components, accelerators, and scalable architecture. Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements. Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches. Act as a technical point of contact for clients, translating business requirements into scalable technical solutions. Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes. Engineering Excellence Champion high-quality engineering practices across all delivery engagements. Ensure adherence to coding standards, architectural integrity, and performance benchmarks. Promote secure coding, test-driven development, and observability as default practices. Encourage continuous learning and technical certifications to maintain cutting-edge expertise. Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD) to ensure robust and scalable solutions. Foster a culture of technical rigor, innovation, and accountability within the team. Innovation & Thought Leadership Monitor and evaluate emerging technologies to inform strategic direction. Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact. Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement. Client Engagement & Solutioning Engage with clients to understand business needs and provide expert guidance throughout the project lifecycle. Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals. Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery. Team Management & Mentorship Lead and mentor cross-functional teams, fostering a culture of learning, collaboration, and technical excellence. Conduct reviews, provide feedback, and support professional development of team members. Quality & Compliance Ensure all deliverables meet quality standards, security, and regulatory requirements. Promote secure coding, test-driven development, and observability as default practices. Strategic Partnering Serve as a strategic partner for internal and external stakeholders on key initiatives. Provide strategic guidance and execution oversight to ensure alignment with organizational goals. Other Embody our culture and values Qualifications 20+ years of Data Engineering experience and Strong Experience in driving Enterprise Data Architecture, Azure Data services, Machine learning Offerings, Platform Modernizations. Over 10 years of experience in designing and leading Data Warehouse, Lakehouse and analytical solutions using platforms such as Microsoft Fabric, Azure Synapse Analytics, Snowflake, and Teradata Strong Experience in large database solutions, on premises, cloud, and hybrid implementations Strong experience in Serverless Architecture/Microservices Strong experience of full application life cycle design tools and methodologies Strong experience in one or more technologies under each of the following Big Data stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight. Database Stack: Strong database experience with OLTP/OLAP, data storage mechanism and architecture, Columnar (RedShift, Vertica) OSS (MySQL, PostgreSQL and MariaDB) CosmosDB (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores) Level 400 knowledge in one (and preferably more) of the database engines, engine stack including engine level debugging for ex; CXPACKET analysis, Disk throttling, storage, IO contentions, Network contentions, performance optimizations. Strong experience in Data Engineering: Data Architecture: Dimensional Modelling, Lambda/Kappa architecture, Time series data Azure Stream Analytics, Azure Analysis ServiceMust have experience in two or more relational DBMS (Microsoft SQL, Azure Synapse and/or Oracle, Teradata, Netezza) Ability to design and drive large Data Migrations using necessary ETL technologies: ADF, SSIS, Talend, Pentaho, Informatica. Drive multi-tenant database designs, security hardening of the data platform. Expertise in implementation of Data governance practices using either open source or proprietary tools. Expertise in Data Ops Good experience in Agile Methodology & Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible. Industry experience in one or more of the following industries: automotive, energy, travel and transportation, financial services, government, health, manufacturing, media & communications, or retail/supply chain. Strong experience in AI/ML: Expertise in building and operationalizing ML pipelines, including feature engineering, model training, evaluation, and deployment (MLOps). Expertise in Azure ML and Open AI. Hands-on experience in Natural Language Processing, Document Intelligence & Indexing or Customer Vision or RAG Framework or AI Search Good understanding of Prompt Engineering Basics. Experience integrating AI models into enterprise data platforms and driving intelligent automation across business processes. Familiarity with Responsible AI principles, including fairness, interpretability, and governance of AI models. Nice To Have Skills Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalogue, Data Mesh and Data Modelling. Multi-cloud experience a plus - Azure, AWS, Google Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft Industry Solution - Global Delivery Center (GDC) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 1000+ exceptional people, GDC presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The Principal Consultant is a senior leader responsible for the successful technical execution and delivery of complex client projects across diverse domains. This role acts as a strategic anchor between clients, architects, delivery managers, project managers, and delivery teams. In the AI-first GDC org, Principal Consultants are expected to embed AI-native thinking into delivery models, ensuring solutions are intelligent, scalable, and aligned with business outcomes. The ideal candidate is passionate about technology, demonstrates breadth of expertise, and advocates for solutions that deliver true client value. = 0 ? 'button' : 'presentation', 'aria-disabled': properties.TabIndex() >= 0 && viewState.displayMode() !== AppMagic.Constants.DisplayMode.Edit }, event: { click: handleClick }, shortcut: { provider: shortcutProvider, enabled: shortcutsEnabled }" data-shortcut-id="54863"> Responsibilities AI-First Delivery Leadership Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable. Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes. Drive engineering excellence through reusable components, accelerators, and scalable architecture. Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements. Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches. Act as a technical point of contact for clients, translating business requirements into scalable technical solutions. Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes. Engineering Excellence Champion high-quality engineering practices across all delivery engagements. Ensure adherence to coding standards, architectural integrity, and performance benchmarks. Promote secure coding, test-driven development, and observability as default practices. Encourage continuous learning and technical certifications to maintain cutting-edge expertise. Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD) to ensure robust and scalable solutions. Foster a culture of technical rigor, innovation, and accountability within the team. Innovation & Thought Leadership Monitor and evaluate emerging technologies to inform strategic direction. Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact. Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement. Client Engagement & Solutioning Engage with clients to understand business needs and provide expert guidance throughout the project lifecycle. Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals. Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery. Team Management & Mentorship Lead and mentor cross-functional teams, fostering a culture of learning, collaboration, and technical excellence. Conduct reviews, provide feedback, and support professional development of team members. Quality & Compliance Ensure all deliverables meet quality standards, security, and regulatory requirements. Promote secure coding, test-driven development, and observability as default practices. Strategic Partnering Serve as a strategic partner for internal and external stakeholders on key initiatives. Provide strategic guidance and execution oversight to ensure alignment with organizational goals. Other Embody our culture and values Qualifications 20+ years of Data Engineering experience and Strong Experience in driving Enterprise Data Architecture, Azure Data services, Machine learning Offerings, Platform Modernizations. Over 10 years of experience in designing and leading Data Warehouse, Lakehouse and analytical solutions using platforms such as Microsoft Fabric, Azure Synapse Analytics, Snowflake, and Teradata Strong Experience in large database solutions, on premises, cloud, and hybrid implementations Strong experience in Serverless Architecture/Microservices Strong experience of full application life cycle design tools and methodologies Strong experience in one or more technologies under each of the following Big Data stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight. Database Stack: Strong database experience with OLTP/OLAP, data storage mechanism and architecture, Columnar (RedShift, Vertica) OSS (MySQL, PostgreSQL and MariaDB) CosmosDB (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores) Level 400 knowledge in one (and preferably more) of the database engines, engine stack including engine level debugging for ex; CXPACKET analysis, Disk throttling, storage, IO contentions, Network contentions, performance optimizations. Strong experience in Data Engineering: Data Architecture: Dimensional Modelling, Lambda/Kappa architecture, Time series data Azure Stream Analytics, Azure Analysis ServiceMust have experience in two or more relational DBMS (Microsoft SQL, Azure Synapse and/or Oracle, Teradata, Netezza) Ability to design and drive large Data Migrations using necessary ETL technologies: ADF, SSIS, Talend, Pentaho, Informatica. Drive multi-tenant database designs, security hardening of the data platform. Expertise in implementation of Data governance practices using either open source or proprietary tools. Expertise in Data Ops Good experience in Agile Methodology & Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible. Industry experience in one or more of the following industries: automotive, energy, travel and transportation, financial services, government, health, manufacturing, media & communications, or retail/supply chain. Strong experience in AI/ML: Expertise in building and operationalizing ML pipelines, including feature engineering, model training, evaluation, and deployment (MLOps). Expertise in Azure ML and Open AI. Hands-on experience in Natural Language Processing, Document Intelligence & Indexing or Customer Vision or RAG Framework or AI Search Good understanding of Prompt Engineering Basics. Experience integrating AI models into enterprise data platforms and driving intelligent automation across business processes. Familiarity with Responsible AI principles, including fairness, interpretability, and governance of AI models. Nice To Have Skills Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalogue, Data Mesh and Data Modelling. Multi-cloud experience a plus - Azure, AWS, Google Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft Industry Solution - Global Delivery Center (GDC) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 1000+ exceptional people, GDC presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The Principal Consultant is a senior leader responsible for the successful technical execution and delivery of complex client projects across diverse domains. This role acts as a strategic anchor between clients, architects, delivery managers, project managers, and delivery teams. In the AI-first GDC org, Principal Consultants are expected to embed AI-native thinking into delivery models, ensuring solutions are intelligent, scalable, and aligned with business outcomes. The ideal candidate is passionate about technology, demonstrates breadth of expertise, and advocates for solutions that deliver true client value. = 0 ? 'button' : 'presentation', 'aria-disabled': properties.TabIndex() >= 0 && viewState.displayMode() !== AppMagic.Constants.DisplayMode.Edit }, event: { click: handleClick }, shortcut: { provider: shortcutProvider, enabled: shortcutsEnabled }" data-shortcut-id="54863"> Responsibilities AI-First Delivery Leadership Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable. Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes. Drive engineering excellence through reusable components, accelerators, and scalable architecture. Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements. Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches. Act as a technical point of contact for clients, translating business requirements into scalable technical solutions. Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes. Engineering Excellence Champion high-quality engineering practices across all delivery engagements. Ensure adherence to coding standards, architectural integrity, and performance benchmarks. Promote secure coding, test-driven development, and observability as default practices. Encourage continuous learning and technical certifications to maintain cutting-edge expertise. Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD) to ensure robust and scalable solutions. Foster a culture of technical rigor, innovation, and accountability within the team. Innovation & Thought Leadership Monitor and evaluate emerging technologies to inform strategic direction. Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact. Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement. Client Engagement & Solutioning Engage with clients to understand business needs and provide expert guidance throughout the project lifecycle. Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals. Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery. Team Management & Mentorship Lead and mentor cross-functional teams, fostering a culture of learning, collaboration, and technical excellence. Conduct reviews, provide feedback, and support professional development of team members. Quality & Compliance Ensure all deliverables meet quality standards, security, and regulatory requirements. Promote secure coding, test-driven development, and observability as default practices. Strategic Partnering Serve as a strategic partner for internal and external stakeholders on key initiatives. Provide strategic guidance and execution oversight to ensure alignment with organizational goals. Other Embody our culture and values Qualifications 20+ years of Data Engineering experience and Strong Experience in driving Enterprise Data Architecture, Azure Data services, Machine learning Offerings, Platform Modernizations. Over 10 years of experience in designing and leading Data Warehouse, Lakehouse and analytical solutions using platforms such as Microsoft Fabric, Azure Synapse Analytics, Snowflake, and Teradata Strong Experience in large database solutions, on premises, cloud, and hybrid implementations Strong experience in Serverless Architecture/Microservices Strong experience of full application life cycle design tools and methodologies Strong experience in one or more technologies under each of the following Big Data stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight. Database Stack: Strong database experience with OLTP/OLAP, data storage mechanism and architecture, Columnar (RedShift, Vertica) OSS (MySQL, PostgreSQL and MariaDB) CosmosDB (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores) Level 400 knowledge in one (and preferably more) of the database engines, engine stack including engine level debugging for ex; CXPACKET analysis, Disk throttling, storage, IO contentions, Network contentions, performance optimizations. Strong experience in Data Engineering: Data Architecture: Dimensional Modelling, Lambda/Kappa architecture, Time series data Azure Stream Analytics, Azure Analysis ServiceMust have experience in two or more relational DBMS (Microsoft SQL, Azure Synapse and/or Oracle, Teradata, Netezza) Ability to design and drive large Data Migrations using necessary ETL technologies: ADF, SSIS, Talend, Pentaho, Informatica. Drive multi-tenant database designs, security hardening of the data platform. Expertise in implementation of Data governance practices using either open source or proprietary tools. Expertise in Data Ops Good experience in Agile Methodology & Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible. Industry experience in one or more of the following industries: automotive, energy, travel and transportation, financial services, government, health, manufacturing, media & communications, or retail/supply chain. Strong experience in AI/ML: Expertise in building and operationalizing ML pipelines, including feature engineering, model training, evaluation, and deployment (MLOps). Expertise in Azure ML and Open AI. Hands-on experience in Natural Language Processing, Document Intelligence & Indexing or Customer Vision or RAG Framework or AI Search Good understanding of Prompt Engineering Basics. Experience integrating AI models into enterprise data platforms and driving intelligent automation across business processes. Familiarity with Responsible AI principles, including fairness, interpretability, and governance of AI models. Nice To Have Skills Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalogue, Data Mesh and Data Modelling. Multi-cloud experience a plus - Azure, AWS, Google Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.