1769 Data Architecture Jobs - Page 15

Role Purpose The purpose of the role is to define and develop Enterprise Data Structure along with Data Warehouse, Master Data, Integration and transaction processing with maintaining and strengthening the modelling standards and business information. Do 1. Define and Develop Data Architecture that aids organization and clients in new/ existing deals a. Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation b. Assess the benefits and risks of data by using tools such as business capability models to create an data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy c. Create data strategy and road maps for the Reference Data Architecture as required by the clients d. Engage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change request e. Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise f. Develop, communicate, support and monitor compliance with Data Modelling standards g. Oversee and monitor all frameworks to manage data across organization h. Provide insights for database storage and platform for ease of use and least manual work i. Collaborate with vendors to ensure integrity, objectives and system configuration j. Collaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization k. Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage l. Define high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes m. Knowledge of all the Data service provider platforms and ensure end to end view. n. Oversight all the data standards/ reference/ papers for proper governance o. Promote, guard and guide the organization towards common semantics and the proper use of metadata p. Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and control q. Provide solution of RFPs received from clients and ensure overall implementation assurance i. Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services in order to better match business outcome objectives ii. Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data iii. Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology iv. Define and understand current issues and problems and identify improvements v. Evaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughout vi. Understand the root cause problem in integrating business and product units vii. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view viii. Collaborating with sales and delivery leadership teams to identify future needs and requirements ix. Tracks industry and application trends and relates these to planning current and future IT needs 2. Building enterprise technology environment for data architecture management a. Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processes b. Evaluate all the implemented systems to determine their viability in terms of cost effectiveness c. Collect all the structural and non-structural data from different places integrate all the data in one database form d. Work through every stage of data processing: analysing, creating, physical data model designs, solutions and reports e. Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices f. Implement the best security practices across all the data bases based on the accessibility and technology g. Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG) h. Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration 3. Enable Delivery Teams by providing optimal delivery solutions/ frameworks a. Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor b. Define database physical structure, functional capabilities, security, back-up and recovery specifications c. Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results d. Monitor system capabilities and performance by performing tests and configurations e. Integrate new solutions and troubleshoot previously occurred errors f. Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards g. Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects h. Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams i. Recommend tools for reuse, automation for improved productivity and reduced cycle times j. Help the support and integration team for better efficiency and client experience for ease of use by using AI methods. k. Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams l. Ensures architecture principles and standards are consistently applied to all the projects m. Ensure optimal Client Engagement i. Support pre-sales team while presenting the entire solution design and its principles to the client ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor Mandatory Skills: AI Application Integration. Experience: 10 YEARS.

Educational Qualifications Lead and mentor the team, define goals, ensure timely project delivery, and manage code reviews. Design scalable data architectures, select appropriate technologies, and ensure compliance with data security regulations. Build and optimize ETL/ELT pipelines, automate workflows, and ensure data quality. Hands-on experience with Databricks for building and managing scalable data pipelines. Manage cloud-based infrastructure, implement IaC, and optimize costs and availability. Work with business stakeholders to translate requirements into technical solutions, track project milestones, and manage risks using Agile. Stay updated on new technologies, drive innovation, and optimize existing systems. Maintain documentation, share knowledge, and conduct team training sessions. Educational Qualifications Bachelors or Masters degree in Computer Science, Data Engineering, or related field 9+ years of experience in Data Engineering, with at least 3+ years in an architectural role Strong expertise in data engineering tools and technologies (e.g., Apache Spark, 1 Cloud (AWS or GCP or Azure), SQL, Python). Proficiency in any cloud platforms (e.g., AWS, Azure, GCP) and their data services. Experience with data modeling, ETL/ELT processes, and data warehousing solutions. Knowledge of distributed systems, big data technologies, and real-time data processing. Strong leadership, communication, and problem-solving skills. Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes, Terraform). Understanding of data governance, security, and compliance requirements.

Role description Lead and mentor a team of data engineers to design, develop, and maintain high-performance data pipelines and platforms. Architect scalable ETL/ELT processes, streaming pipelines, and data lake/warehouse solutions (e.g., Redshift, Snowflake, BigQuery). Own the roadmap and technical vision for the data engineering function, ensuring best practices in data modeling, governance, quality, and security. Drive adoption of modern data stack tools (e.g., Airflow, Kafka, Spark etc.) and foster a culture of continuous improvement. Ensure the platform is reliable, scalable, and cost-effective across batch and real-time use cases. Champion data observability, lineage, and privacy initiatives to ensure trust in data across the org. Skills Bachelors or Masters degree in Computer Science, Engineering, or related technical field. 8+ years of hands-on experience in data engineering with at least 2+ years in a leadership or managerial role. Proven experience with distributed data processing frameworks such as Apache Spark, Flink, or Kafka. Strong SQL skills and experience in data modeling, data warehousing, and schema design. Proficiency with cloud platforms (AWS/GCP/Azure) and their native data services (e.g., AWS Glue, Redshift, EMR, BigQuery). Solid grasp of data architecture, system design, and performance optimization at scale. Experience working in an agile development environment and managing sprint-based delivery cycles.

About the Role: Grade Level (for internal use): 12 The Team You will be an expert contributor and part of the Rating Organizations Data Services Product Engineering Team. This team, who has a broad and expert knowledge on Ratings organizations critical data domains, technology stacks and architectural patterns, fosters knowledge sharing and collaboration that results in a unified strategy. All Data Services team members provide leadership, innovation, timely delivery, and the ability to articulate business value. Be a part of a unique opportunity to build and evolve S&P Ratings next gen analytics platform. Responsibilities: Architect, design, and implement innovative software solutions to enhance S&P Ratings' cloud-based analytics platform. Mentor a team of engineers (as required), fostering a culture of trust, continuous growth, and collaborative problem-solving. Collaborate with business partners to understand requirements, ensuring technical solutions align with business goals. Manage and improve existing software solutions, ensuring high performance and scalability. Participate actively in all Agile scrum ceremonies, contributing to the continuous improvement of team processes. Produce comprehensive technical design documents and conduct technical walkthroughs. Experience & Qualifications: Bachelors degree in Computer Science, Information Systems, Engineering, or a related field is required. Proficient in software development lifecycle (SDLC) methodologies, including Agile and Test-Driven Development. A total of 12+ years of experience, with 8+ years focused on designing enterprise products, modern data architectures, and analytics platforms. 6+ years of hands-on experience in application architecture and design, with proven knowledge of software and enterprise integration design patterns, as well as full-stack development across modern distributed front-end and back-end technology stacks. 5+ years of full-stack development experience using modern web development technologies, including proficiency in programming languages and UI frameworks, as well as experience with relational and NoSQL databases. Experience in designing transactional systems, data warehouses, data lakes, and data integrations within a big data ecosystem using cloud technologies. Thorough understanding of distributed computing principles. A passionate, intelligent, and articulate developer with a quality-first mindset and a strong background in developing products for a global audience at scale. Excellent analytical thinking, interpersonal skills, and both oral and written communication skills, with a strong ability to influence both IT and business partners. Superior knowledge of system architecture, object-oriented design, and design patterns. Strong work ethic, self-starter mentality, and results-oriented approach. Excellent communication skills are essential, with strong verbal and writing proficiencies. Additional Preferred Qualifications: Experience working with cloud service providers. Familiarity with Agile frameworks, including scaled Agile methodologies. Advanced degree in Computer Science, Information Systems, or a related field. Hands-on experience in application architecture and design, with proven software and enterprise integration design principles. Ability to prioritize and manage work to meet critical project timelines in a fast-paced environment. Strong analytical and communication skills, with the ability to train and mentor others.

Project description We've been engaged by a large Australian company to work on their Digital Transformation project. We are building a team from offshore that will work with the existing team. We require an experienced Microsoft SQL Developer with strong experience with Microsoft SQL Server with broad exposure to financial markets. This will be a high profile engagement with a view to quickly grow our offshore footprint with this client. Responsibilities The role requires strong previous experience as an analyst in Data related functions and platforms, performing impact assessments, data discovery, data lineage, current state & gap analysis for complex data requirements Experience within Financial services preferred, ideally with exposure to the Banking and Finance data domain. A natural ability to effectively influence and collaborate with multiple technical and non-technical groups of stakeholders, and work well with a range of internal cross functional teams is highly desirable. Define problems and opportunities. Perform business & technical data analysis that can be used to support or challenge business outcomes Effectively communicating requirements to stakeholders, managing conflicts, issues and changes in order to ensure that stakeholders and project team members remain in agreement on solution scope Skills Must have 8-12 years of experience as a SQL developer in Microsoft environment. Ability to write complex queries and optimize, handle large volumes and remain efficient in a production setting Good knowledge in Database data structures, Data-warehouse Need a bright and eager to learn candidate for this role Some exposure/understanding of banking/financial market Balance sheet management exposure: great plus Technical knowledge of writing complex queries/stored procedures. Understanding of data architecture and advanced data analysis skills Good communication skills. Must be able to understand requirements and explain technical solutions to business stakeholders and the team. Excellent troubleshooting and analytical skills. Able to investigate, analyse and troubleshoot tasks. Experience in query optimization. Familiarity with SSI packages for integration and execution of the stored procedure. Track record of data analysis and writing SQL queries/stored procedure in large-scale applications and transformations. Nice to have A track record working as a developer in the Financial Service Industry or exposure to loans, interest rates, balance sheet related applications/datasets is desirable but not mandatory. Other Languages English: C1 Advanced Seniority Senior

Project description We've been engaged by a large Australian company to work on their Digital Transformation project. We are building a team from offshore that will work with the existing team. We require an experienced Microsoft SQL Developer with strong experience with Microsoft SQL Server with broad exposure to financial markets. This will be a high profile engagement with a view to quickly grow our offshore footprint with this client. Responsibilities The role requires strong previous experience as an analyst in Data related functions and platforms, performing impact assessments, data discovery, data lineage, current state & gap analysis for complex data requirements Experience within Financial services preferred, ideally with exposure to the Banking and Finance data domain. A natural ability to effectively influence and collaborate with multiple technical and non-technical groups of stakeholders, and work well with a range of internal cross functional teams is highly desirable. Define problems and opportunities. Perform business & technical data analysis that can be used to support or challenge business outcomes Effectively communicating requirements to stakeholders, managing conflicts, issues and changes in order to ensure that stakeholders and project team members remain in agreement on solution scope Skills Must have 8-12 years of experience as a SQL developer in Microsoft environment. Ability to write complex queries and optimize, handle large volumes and remain efficient in a production setting Good knowledge in Database data structures, Data-warehouse Need a bright and eager to learn candidate for this role Some exposure/understanding of banking/financial market Balance sheet management exposure: great plus Technical knowledge of writing complex queries/stored procedures. Understanding of data architecture and advanced data analysis skills Good communication skills. Must be able to understand requirements and explain technical solutions to business stakeholders and the team. Excellent troubleshooting and analytical skills. Able to investigate, analyse and troubleshoot tasks. Experience in query optimization. Familiarity with SSI packages for integration and execution of the stored procedure. Track record of data analysis and writing SQL queries/stored procedure in large-scale applications and transformations. Nice to have A track record working as a developer in the Financial Service Industry or exposure to loans, interest rates, balance sheet related applications/datasets is desirable but not mandatory. Other Languages English: C1 Advanced Seniority Senior

Job Title: IT- Senior Engineer Azure Lake Years of Experience: 4-6 Years Mandatory Skills: Azure, DataLake, SAP BW, PowerBI, Tableau Key Responsibilities: Develop and maintain data architecture strategy, including design and architecture validation reviews. Architect scalable data flows, storage, and analytics platforms in cloud/hybrid environments, ensuring secure and cost-effective solutions. Establish and enforce data governance frameworks, promoting data quality and compliance. Act as a technical advisor on complex data projects and collaborate with stakeholders on project scope and planning. Drive adoption of new technologies, conduct technological watch, and define standards for data management. Develop using SQL, SYNAPSE, Databricks, PowerBI, Fabric. Required Qualifications & Experience: Bachelors or Master’s degree in Computer Science or related field. Experience in data architecture with at least 3 years in a leadership role. Deep knowledge of Azure/AWS, Databricks, Synapse, and other cloud data platforms. Understanding of SAP technologies (SAP BW, SAP DataSphere, HANA, S/4, ECC) and visualization tools (Power BI, Tableau). Understanding of data modeling, ETL/ELT, big data, relational/NoSQL databases, and data security. Experience with AI/ML and familiarity with data mesh/fabric. 5 years in back-end/full stack development in large scale projects with Azure Synapse / Databricks.

Job Area: Miscellaneous Group, Miscellaneous Group > Data Analyst Qualcomm Overview: Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. General Summary: About the Team Qualcomm's People Analytics team plays a crucial role in transforming data into strategic workforce insights that drive HR and business decisions. As part of this lean but high-impact team, you will have the opportunity to analyze workforce trends, ensure data accuracy, and collaborate with key stakeholders to enhance our data ecosystem. This role is ideal for a generalist who thrives in a fast-paced, evolving environment"”someone who can independently conduct data analyses, communicate insights effectively, and work cross-functionally to enhance our People Analytics infrastructure. Why Join Us End-to-End Impact Work on the full analytics cycle"”from data extraction to insight generation"”driving meaningful HR and business decisions. Collaboration at Scale Partner with HR leaders, IT, and other analysts to ensure seamless data integration and analytics excellence. Data-Driven Culture Be a key player in refining our data lake, ensuring data integrity, and influencing data governance efforts. Professional Growth Gain exposure to multiple areas of people analytics, including analytics, storytelling, and stakeholder engagement. Key Responsibilities People Analytics & Insights Analyze HR and workforce data to identify trends, generate insights, and provide recommendations to business and HR leaders. Develop thoughtful insights to support ongoing HR and business decision-making. Present findings in a clear and compelling way to stakeholders at various levels, including senior leadership. Data Quality & Governance Ensure accuracy, consistency, and completeness of data when pulling from the data lake and other sources. Identify and troubleshoot data inconsistencies, collaborating with IT and other teams to resolve issues. Document and maintain data definitions, sources, and reporting standards to drive consistency across analytics initiatives. Collaboration & Stakeholder Management Work closely with other analysts on the team to align methodologies, share best practices, and enhance analytical capabilities. Act as a bridge between People Analytics, HR, and IT teams to define and communicate data requirements. Partner with IT and data engineering teams to improve data infrastructure and expand available datasets. Qualifications Required4-7 years experience in a People Analytics focused role Analytical & Technical Skills Strong ability to analyze, interpret, and visualize HR and workforce data to drive insights. Experience working with large datasets and ensuring data integrity. Proficiency in Excel and at least one data visualization tool (e.g., Tableau, Power BI). Communication & Stakeholder Management Ability to communicate data insights effectively to both technical and non-technical audiences. Strong documentation skills to define and communicate data requirements clearly. Experience collaborating with cross-functional teams, including HR, IT, and business stakeholders. Preferred: Technical Proficiency Experience with SQL, Python, or R for data manipulation and analysis. Familiarity with HR systems (e.g., Workday) and cloud-based data platforms. People Analytics Expertise Prior experience in HR analytics, workforce planning, or related fields. Understanding of key HR metrics and workforce trends (e.g., turnover, engagement, diversity analytics). Additional Information This is an office-based position (4 days a week onsite) with possible locations that may include India and Mexico Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Company Overview What Youll Do: Ability to design, structure, and maintain data effectively and securely Design and manage relational databases to support enterprise applications and physical data modeling according to project requirements Integrate disparate applications across the firm into unified data platform design Engage in identifying architectural weaknesses or data integrity problems and recommend appropriate solutions Advocate enterprise architecture principles and articulate values propositions to departmental data owners and stewards Participate and provide data strategy expertise to technology projects and initiatives Assess Data management and functional capabilities for potential vendor solutions Partner with business functions and leaders to prioritize business information needs Integrate and implement AI and machine learning models to enhance data analytics and decision-making processes. Collaborate with data scientists and AI engineers to integrate AI solutions into the data architecture. What Youll Need: Bachelor s degree in engineering, Science, Information Technology, or other related Discipline 6+ years of experience in IT Technical Analysis, implementation of Data Warehousing, Data Mart, relational Databases, and Business Intelligence initiatives Experience in implementing and administering relational databases and data warehouse solutions Expertise with ETL processes, data APIs, and data structuring Hands-on experience with writing SQL and building complex queries Experience with AWS cloud services (Aurora, S3, EC2, Redshift) Understand principles of data design, data modeling, and data architecture Deep experience in logical, physical, and semantic data modeling Extensive technical knowledge, analytical skills, and creative thinking for problem-solving Proficiency in AI and machine learning frameworks is important. Experience in integrating and deploying AI models in a production environment. Understanding of AI algorithms and their applications in data analytics. Motivated team player with excellent distance interpersonal skills Ability to work both independently and collaboratively within geographically dispersed teams Ability to self-learn, develop and apply business and technical knowledge quickly Excellent communication and influencing skills Experience in data governance and data quality a plus Experience working with Finance business units a plus

What You'll Do Want to kick off an exciting career with a growing cloud technology business? Avalara is looking for highly energetic, customer-centric, driven professionals to join our Sales Development organization as an Account Development Representative (ADR) supporting our North American Market. Experience supporting and clients from the North American Region is mandatory. Using your natural sales instincts, you will gain experience interacting with clients and prospects of all levels in different industries and across North America. You are eager to grow through a clearly defined learning and earning path. Avalara offers an environment where you will be provided the tools, resources, and leadership to sell business solutions and take your career to the next level. This role is based in Pune and reports to the Sales Manager. What Your Responsibilities Will Be Respond to and qualify incoming web and phone inquiries regarding Avalara products. Become an expert on products and services to be sold and maintain relevant industry knowledge. Create a great first impression to our prospects and customers by providing them with a world class experience. Drive customer participation in webinars, certification events, and/or conferences Maintain active engagement with new and existing leads through creative follow-up communications designed to increase customer interest in Avalara products. Achieve monthly quotas of qualified and sales accepted opportunities. Actively collaborate as a team member within the department and the organization as a whole Manage Accounts and build up your sales pipeline. Generating the right party contacts through the accounts assigned Supporting US clientele and will be required to work in Night Shifts What You'll Need to be Successful Minimum bachelor's degree is preferred. 34-year relevant professional experience in Outbound Sales Account Based Marketing (ABM) Experience being held to and motivated by metrics. Experience supporting and clients from the North American Region is a must

With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And were only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieveRead on. Here, we know that youre more than your work. Thats why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose "” a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If youre passionate about our purpose "” people "”then we cant wait to support whatever gives you purpose. Were united by purpose, inspired by you. :We are seeking a seasoned Senior Director of Software Engineering with deep expertise in Data Platforms to lead and scale our data engineering organization. With deep industry experience, you will bring strategic vision, technical leadership, and operational excellence to drive innovation and deliver robust, scalable, and high-performing data solutions. You will partner closely with cross-functional teams to enable data-driven decision-making across the enterprise.Key Responsibilities:Define and execute the engineering strategy for modern, scalable data platforms.Lead, mentor, and grow a high-performing engineering organization.Partner with product, architecture, and infrastructure teams to deliver resilient data solutions.Drive technical excellence through best practices in software development, data modeling, security, and automation.Oversee the design, development, and deployment of data pipelines, lakehouses, and real-time analytics platforms.Ensure platform reliability, availability, and performance through proactive monitoring and continuous improvement.Foster a culture of innovation, ownership, and continuous learning.20+ years of experience in software engineering with a strong focus on data platforms and infrastructure.Proven leadership of large-scale, distributed engineering teams.Deep understanding of modern data architectures (e.g., data lakes, lakehouses, streaming, warehousing).Proficiency in cloud-native data platforms (e.g., AWS, Azure, GCP), big data ecosystems (e.g., Spark, Kafka, Hive), and data orchestration tools.Strong software development background with expertise in one or more languages such as Python, Java, or Scala.Demonstrated success in driving strategic technical initiatives and cross-functional collaboration.Strong communication and stakeholder management skills at the executive level.Bachelors or Masters degree in Computer Science, Engineering, or a related field (Ph.D. a plus). Where were going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet its our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! UKGCareers@ukg.com

Work Mode: Hybrid(3days WFO & 2 days WFH) Role & responsibilities Proficiency in data modeling tools such as ER/Studio, ERwin or similar. Deep understanding of relational database design, normalization/denormalization, and data warehousing principles. Experience with SQL and working knowledge of database platforms like Oracle, SQL Server, PostgreSQL, or Snowflake. Strong knowledge of metadata management, data lineage, and data governance practices. Understanding of data integration, ETL processes, and data quality frameworks. Ability to interpret and translate complex business requirements into scalable data models. Excellent communication and documentation skills to collaborate with cross-functional teams. Preferred candidate profile Need 15 days or Immediate candidates .

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Data Building Tool Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also be responsible for ensuring that the data models are aligned with best practices and organizational standards, facilitating smooth data integration and accessibility across different systems. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality data solutions that enhance decision-making processes within the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Develop and maintain comprehensive documentation of data models and architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Building Tool.- Strong understanding of data modeling techniques and methodologies.- Experience with data integration and ETL processes.- Familiarity with database management systems and SQL.- Ability to translate business requirements into technical specifications. Additional Information:- The candidate should have minimum 12 years of experience in Data Building Tool.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, contribute to key decisions, and manage the development process to deliver high-quality applications that enhance operational efficiency. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data modeling and ETL processes.- Experience with SQL and data querying techniques.- Familiarity with cloud-based data solutions and architecture.- Ability to troubleshoot and optimize application performance. Additional Information:- The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : OneTrust Privacy Management Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions to enhance data accessibility and usability. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Develop and optimize data pipelines to ensure efficient data flow and processing.- Monitor and troubleshoot data quality issues, implementing corrective actions as necessary. Professional & Technical Skills: - Must To Have Skills: Proficiency in OneTrust Privacy Management.- Good To Have Skills: Experience with Data Governance.- Strong understanding of data architecture and data modeling principles.- Experience with ETL tools and data integration techniques.- Familiarity with data quality frameworks and best practices. Additional Information:- The candidate should have minimum 7.5 years of experience in OneTrust Privacy Management.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Microsoft Power Business Intelligence (BI), Microsoft Azure DatabricksMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the data architecture. You will be involved in analyzing data requirements and translating them into effective solutions, ensuring that the data platform meets the needs of various stakeholders. Additionally, you will participate in team meetings to share insights and contribute to the overall strategy of the data platform. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Engage in continuous learning to stay updated with the latest trends and technologies in data platforms.- Assist in the documentation of data architecture and integration processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Microsoft Power Business Intelligence (BI), Microsoft Azure Databricks.- Strong understanding of data integration techniques and methodologies.- Experience with data modeling and database design principles.- Familiarity with cloud-based data solutions and architectures. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Cloud Data Architecture Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a dynamic environment where you will analyze, design, code, and test various components of application code across multiple clients. Your typical day will involve collaborating with team members to perform maintenance and enhancements, ensuring that the applications meet the evolving needs of users while maintaining high standards of quality and performance. You will also be responsible for troubleshooting issues and implementing solutions that enhance the functionality and efficiency of the applications. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to foster their professional growth and development.- Continuously evaluate and improve development processes to enhance team productivity. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Data Architecture.- Strong understanding of cloud computing principles and architecture.- Experience with data modeling and database design.- Familiarity with cloud service providers such as AWS, Azure, or Google Cloud.- Knowledge of application development frameworks and methodologies. Additional Information:- The candidate should have minimum 7.5 years of experience in Cloud Data Architecture.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Job Title - S&CGN - Tech Strategy & Advisory - SAP S/4 MDG - Consultant Management Level: 9-Team Lead/Consultant Location: Bengaluru, BDC7A Must-have skills: Data Architecture Good to have skills: Knowledge of emerging technologies, cloud computing, and cybersecurity best practices. Job Summary : Strong functional understanding and hands-on experience of SAP MDM / MDG backed up with implementation projects and aligned with SAP MM, SD, FICO, PP processes Responsible for process design, configuration, assist with testing, gather requirements and ultimately setup a full functional development for MDG-S, MDG-C and MDG-MM, test, and production environment to deliver MDG objects and integration solutions Ability to work on customized SAP environment and integrated non-SAP interfaces. Ability to understand customer demands, challenge requirements in terms of business value and effort / complexity & translate them into solutions. Adept in developing, delivering and supporting analytic solutions based on business requirements. Having understanding of Analytical data modelling, knowledge on data models - attribute, analytical and calculation will be appreciated. Good Knowledge of SAP Services Business Processes knowledge and understanding of DataWarehouseCloud experience Excellent problem-solving skills & deep understanding of processes from business & functional perspective. Excellent Verbal & Written Communication Skills and Proficiency in MS Office applications Ability to work with clients & teams from multiple geographies Roles & Responsibilities: Develop and execute technology transformation strategies, oversee implementation projects, and optimize digital capabilities for business efficiency. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: Any Degree

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : A Engineering graduate preferably Computer Science graduate 15 years of full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the data architecture. You will be involved in analyzing requirements, proposing solutions, and ensuring that the data platform aligns with organizational goals and standards. Your role will require a proactive approach to problem-solving and a commitment to delivering high-quality results in a dynamic environment. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Engage in continuous learning to stay updated with industry trends and technologies.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data modeling concepts and tools.- Ability to troubleshoot and optimize data workflows for performance. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad office.- A Engineering graduate preferably Computer Science graduate 15 years of full time education is required. Qualification A Engineering graduate preferably Computer Science graduate 15 years of full time education

As an AWS Data Engineer at Quest Global, you will be responsible for designing, developing, and maintaining data pipelines while ensuring data quality and integrity within the MedTech industry. Your key responsibilities will include designing scalable data solutions on the AWS cloud platform, developing data pipelines using Databricks and PySpark, collaborating with cross-functional teams to understand data requirements, optimizing data workflows for improved performance, and ensuring data quality through validation and testing processes. To be successful in this role, you should have a Bachelor's degree in Computer Science, Engineering, or a related field, along with at least 6 years of experience as a Data Engineer with expertise in AWS, Databricks, PySpark, and S3. You should possess a strong understanding of data architecture, data modeling, and data warehousing concepts, as well as experience with ETL processes, data integration, and data transformation. Excellent problem-solving skills and the ability to work in a fast-paced environment are also essential. In terms of required skills and experience, you should have experience in implementing Cloud-based analytics solutions in Databricks (AWS) and S3, scripting experience in building data processing pipelines with PySpark, and knowledge of Data Platform and Cloud (AWS) ecosystems. Working experience with AWS Native services such as DynamoDB, Glue, MSK, S3, Athena, CloudWatch, Lambda, and IAM is important, as well as expertise in ETL development, analytics applications development, and data migration. Exposure to all stages of SDLC, strong SQL development skills, and proficiency in Python and PySpark development are also desired. Additionally, experience in writing unit test cases using PyTest or similar tools would be beneficial. If you are a talented AWS Data Engineer looking to make a significant impact in the MedTech industry, we invite you to apply for this exciting opportunity at Quest Global.,

The role aims to define and develop Enterprise Data Structure including Data Warehouse, Master Data, Integration, and transaction processing while maintaining and enhancing modelling standards and business information. You will be responsible for defining and developing Data Architecture to support organization and clients in new/existing deals. This involves partnering with business leadership to provide strategic recommendations, creating data strategy and road maps, implementing data governance models, ensuring data storage technologies align with enterprise infrastructure, monitoring compliance with Data Modelling standards, and collaborating with various stakeholders to maximize the value of data architecture. Additionally, you will be tasked with building enterprise technology environment for data architecture management by developing standard patterns for data layers, data stores, data hub & lake, and data management processes, evaluating system implementations for cost-effectiveness, building conceptual and logical data models, implementing best security practices, and demonstrating strong experience in Master Data Management, Metadata Management, and Data Governance. Furthermore, you will enable Delivery Teams by providing optimal delivery solutions/frameworks, maintaining relationships with key stakeholders, defining database physical structure and specifications, establishing relevant technical and business process metrics, monitoring system capabilities and performance, identifying and mitigating risks, ensuring quality assurance of architecture/design decisions, recommending tools for improved productivity, and supporting integration teams for better efficiency and client experience. In conclusion, Wipro is seeking individuals who are inspired by reinvention and are looking to evolve in their careers. The company is dedicated to digital transformation and welcomes applications from individuals with disabilities. If you are motivated by constant evolution and wish to be part of a purpose-driven organization, consider joining Wipro to realize your ambitions.,

As a Cloud Data Modeler with 6 to 9 years of experience in GCP environments, you will play a crucial role in designing schema architecture, creating performance-efficient data models, and guiding teams on cloud-based data integration best practices. Your expertise will be focused on GCP data platforms such as BigQuery, CloudSQL, and AlloyDB. Your responsibilities will include architecting and implementing scalable data models for cloud data warehouses and databases, optimizing OLTP/OLAP systems for reporting and analytics, supporting cloud data lake and warehouse architecture, and reviewing and optimizing existing schemas for cost and performance on GCP. You will also be responsible for defining documentation standards, ensuring model version tracking, and collaborating with DevOps and DataOps teams for deployment consistency. Key Requirements: - Deep knowledge of GCP data platforms including BigQuery, CloudSQL, and AlloyDB - Expertise in data modeling, normalization, and dimensional modeling - Understanding of distributed query engines, table partitioning, and clustering - Familiarity with DBSchema or similar tools Preferred Skills: - Prior experience in BFSI or asset management industries - Working experience with Data Catalogs, lineage, and governance tools Soft Skills: - Collaborative and consultative mindset - Strong communication and requirements gathering skills - Organized and methodical approach to data architecture challenges By joining our team, you will have the opportunity to contribute to modern data architecture in a cloud-first enterprise, influence critical decisions around GCP-based data infrastructure, and be part of a future-ready data strategy implementation team.,

As an Assistant Manager - MIS Reporting at Axis Max Life Insurance, you will play a crucial role in driving the business intelligence team towards a data-driven culture and leading the transformation towards automation and real-time insights. You will be responsible for ensuring the accurate and timely delivery of reports and dashboards while coaching and mentoring a team of professionals to enhance their skills and capabilities. Your key responsibilities will include handling distribution reporting requirements, supporting CXO reports and dashboards, driving data democratization, collaborating to design data products, and partnering with the data team to build necessary data infrastructure. You will lead a team of 10+ professionals, including partners, and work closely with distribution leaders to understand key metrics and information needs to develop business intelligence products that cater to those needs. Additionally, you will define the vision and roadmap for the business intelligence team, championing a data culture within Max Life and accelerating the journey towards becoming a data-driven organization. To excel in this role, you should possess a Master's degree in a quantitative field, along with at least 7-8 years of relevant experience in working with business reporting teams in the financial services sector. Proficiency in tools like Python and PowerBI is essential, as well as demonstrated experience in working with senior leadership, standardizing and automating business reporting, and technical proficiency in BI tech stack. Strong interpersonal skills, excellent verbal and written communication abilities, and a deep understanding of data architecture, data warehousing, and data lakes are also required for this position. If you are passionate about leading change, driving efficiency, and rationalizing information overload, we are looking for you to join our team at Axis Max Life Insurance.,

As a Data Manager, you will play a crucial role in leading the development, governance, and utilization of enterprise data systems to ensure seamless and secure flow of data across platforms and teams. Your strategic leadership will enable timely access to actionable insights and support data-driven decision-making throughout the organization. Your primary objectives will include optimizing data systems and infrastructure for business intelligence and analytics, implementing best-in-class data governance, quality, and security frameworks, leading a team of data and software engineers to develop and maintain cloud-native platforms, and supporting data needs across the enterprise. Key responsibilities will involve developing and enforcing policies for effective data management, designing secure processes for data collection, storage, and analysis, monitoring and enhancing data quality and consistency, overseeing data integration from multiple systems, and collaborating with internal stakeholders to meet data requirements and compliance standards. In addition, you will be expected to manage, mentor, and grow a high-performing data engineering team, lead cross-functional collaboration with other teams, facilitate partnerships with cloud providers, conduct architecture reviews, and ensure alignment of data operations with enterprise goals. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, have 10-15 years of experience in enterprise data architecture or governance, possess expertise in SQL, data modeling, and modern data tools, and demonstrate a deep understanding of AWS cloud services and DevOps practices. Preferred experience in healthcare analytics or data environments, familiarity with EHR/EMR systems, and strong soft skills such as leadership, communication, and adaptability will be advantageous in this role. In return, we offer competitive compensation, a hybrid and flexible work environment, career development programs, and a collaborative culture focused on innovation and impact. Join us in driving data excellence and leveraging cutting-edge technologies to make a difference in the organization and beyond.,

Our Enterprise Technology division at Macquarie delivers cutting-edge solutions for global operations. We are currently seeking a Vice President who will be responsible for driving strategic direction and operational excellence. The ideal candidate will lead a talented team of engineers, fostering a culture of innovation and collaboration. At Macquarie, we take pride in bringing together diverse individuals and empowering them to explore a wide range of possibilities. As a global financial services group operating in 34 markets with 55 years of unbroken profitability, we offer a supportive and friendly team environment where everyone's ideas contribute to driving outcomes. In this key leadership position, you will have the opportunity to lead and mentor a high-performing team of engineers, cultivating a culture of innovation and continuous improvement. Your responsibilities will include developing and executing the strategic roadmap for enterprise data platforms, ensuring alignment with business objectives and timely project delivery. Collaboration with cross-functional teams to deliver effective data solutions, maintaining technical excellence, and embracing innovative technologies will be essential. The successful candidate should possess: - Extensive experience in data engineering and managing complex data platform projects - Demonstrated leadership skills in managing and developing engineering teams - Proficiency in data architecture, data warehousing, ETL processes, big data technologies (Hadoop, Spark, Kafka), AWS services, Kubernetes, and Docker - Strong analytical and problem-solving abilities for data-driven decision-making - Excellent communication and interpersonal skills for engaging and influencing stakeholders If you are inspired to contribute to building a better future and are excited about the role or working at Macquarie, we encourage you to apply. About Technology: Technology plays a crucial role in every aspect of Macquarie, for our people, customers, and communities. We are a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications, and designing tomorrow's technology solutions. Our Commitment to Diversity, Equity, and Inclusion: We are dedicated to providing reasonable adjustments to individuals who may require support during the recruitment process and in their working arrangements. If you need additional assistance, please inform us during the application process.,