1779 Data Architecture Jobs - Page 18

As a Database Administrator at NTT DATA, you will be a seasoned subject matter expert responsible for ensuring the availability, integrity, and performance of critical data assets. You will work closely with cross-functional teams to support data-driven applications, troubleshoot issues, and implement robust backup and recovery strategies. Collaboration with Change Control, Release Management, Asset and Configuration Management, and Capacity and Availability Management will be essential to establish user needs, monitor access and security, and control database environments. Key responsibilities include performing the installation, configuration, and maintenance of database management systems, collaborating with software developers/architects to optimize database schemas, and designing backup and disaster recovery strategies. You will monitor database performance, identify bottlenecks, and optimize queries for optimal performance. Additionally, you will work on database documentation, data validation, integrity checks, and data cleansing activities. Supporting database-related initiatives, applying patches, and communicating with technical teams and stakeholders are also crucial aspects of the role. To excel in this position, you should have seasoned proficiency in database administration tasks, SQL knowledge, database security principles, backup and recovery strategies, and data architecture. Effective communication, problem-solving, analytical skills, and the ability to manage multiple projects concurrently are necessary. Academic qualifications include a Bachelor's degree in computer science or related field, along with relevant certifications such as MCSE DBA or Oracle Associate. Prior experience as a Database Administrator in an IT organization, working with Oracle Enterprise and Microsoft SQL Server, and managing databases is required. NTT DATA is a trusted global innovator of business and technology services, committed to helping clients innovate, optimize, and transform for long-term success. With a focus on R&D and a diverse team of experts, NTT DATA provides consulting, data, AI, and industry solutions to move organizations confidently into the digital future. As an Equal Opportunity Employer, NTT DATA offers a workplace where diversity and inclusion thrive, allowing employees to grow, belong, and succeed.,

You will be part of a global and diverse community at American Express, where you will have the opportunity to contribute to the company's success and work in an environment that values integrity and inclusivity. As a member of the U.S. Consumer Services and Enterprise Digital & Data Technology Team, you will play a key role in developing technology capabilities that enhance digital engagement and support various business lines and customer segments. In this role, you will be responsible for Business Process Management architecture, focusing on increasing adoption of automation platforms, delivering technology products, and providing innovative solutions. You will spend 25% of your time on hands-on technical projects, analyzing and recommending solutions based on research and introspection. Your responsibilities will include designing and leading solutions, ensuring alignment with enterprise architecture standards, and collaborating with engineering teams to implement solutions that drive measurable business improvements. To succeed in this role, you should have a minimum of 10 years of engineering or architecture experience, with a strong background in designing and deploying enterprise-grade technology assets. A bachelor's degree in computer science or a related field is required, and an advanced degree is preferred. You should have deep knowledge of architectural disciplines and experience in introducing new technologies based on research. Proficiency in technology architecture, containers, cloud management, and COTS product evaluation is essential, along with the ability to write, read, and debug code. Preferred qualifications include experience in delivering technology products for enterprise scale, exposure to AI technologies, and expertise in service-oriented architecture and microservices architecture. You should also have experience with high-throughput messaging technologies and channel-specific architecture skills. American Express offers competitive salaries, bonus incentives, and comprehensive benefits to support your holistic well-being, including medical, dental, vision, life insurance, and disability benefits. You will have access to career development opportunities and flexible working arrangements based on business needs. Join Team Amex and be part of a team that values your contributions and supports your professional growth and personal well-being.,

The Reporting & Data Product Owner - ISS Data (Associate Director) role at Fidelity involves leading the creation and execution of a future state data reporting product to enable Regulatory, Client, Vendor, Internal & MI reporting and analytics. This key role requires an in-depth knowledge of data domains related to institutional clients, investment life cycle, and regulatory and client reporting data requirements. Sitting within the ISS Delivery Data Analysis chapter, the successful candidate will collaborate with Business Architecture, Data Architecture, and business stakeholders to build a future state platform. Maintaining strong relationships with various business contacts is essential to ensure superior service to internal business stakeholders and clients. **Key Responsibilities** **Leadership and Management:** - Lead ISS distribution, Client Propositions, Sustainable Investing, and Regulatory reporting data outcomes - Define data roadmap and capabilities, supporting execution and delivery of data solutions as a Data Product lead - Line management responsibilities for junior data analysts within the chapter - Define data product vision and strategy with end-to-end thought leadership - Lead and define the data product backlog, documentation, analysis effort estimation, and planning - Drive efficiencies, scale, and innovation as a catalyst for change **Data Quality and Integrity:** - Define data quality use cases for all required data sets - Contribute to technical frameworks of data quality - Align functional solution with best practice data architecture & engineering **Coordination and Communication:** - Communicate at a senior management level to influence senior tech and business stakeholders globally - Coordinate with internal and external teams impacted by data flows - Advocate for the ISS Data Programme - Collaborate closely with Data Governance, Business Architecture, Data owners, etc. - Conduct workshops within scrum teams and across business teams, effectively documenting minutes and driving actions This role offers a comprehensive benefits package, prioritizes wellbeing, supports development, and provides flexibility in work arrangements. Fidelity is committed to ensuring a motivating work environment where employees feel valued and part of a team. Visit careers.fidelityinternational.com to learn more about our work, approach to dynamic working, and opportunities for building a future with us.,

Architect & manage data solutions using Snowflake & advanced SQL Design & implement data pipelines, data warehouses, & data lakes, ensuring efficient data transformation Develop best practices for data security, access control, & compliance Required Candidate profile Exp 8-14 yrs Strong data architect SQL& Snowflake exp must Collaborate with cross-functional teams, integrate & translate them into robust data architectures Manufacturing industry exp is a must

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place one that benefits lives, communities and the planet Job Title: Software Engineer Practitioner Location: Chennai Work Type: Hybrid Position Description: We're seeking a highly skilled and experienced Full Stack Data Engineer to play a pivotal role in the development and maintenance of our Enterprise Data Platform. In this role, you'll be responsible for designing, building, and optimizing scalable data pipelines within our Google Cloud Platform (GCP) environment. You'll work with GCP Native technologies like BigQuery, Dataform,Dataflow, and Pub/Sub, ensuring data governance, security, and optimal performance. This is a fantastic opportunity to leverage your full-stack expertise, collaborate with talented teams, and establish best practices for data engineering at client. Basic Qualifications: Bachelors or Masters degree in a Computer Science, Engineering or a related or related field of study 5+ Years - Strong understating of Database concepts and experience with multiple database technologies optimizing query and data processing performance. 5+ Years - Full Stack Data Engineering Competency in a public cloud Google Critical thinking skills to propose data solutions, test, and make them a reality. 5+ Years - Highly Proficient in SQL, Python, Java- Experience programming engineering transformation in Python or a similar language. 5+ Years - Ability to work effectively across organizations, product teams and business partners. 5+ Years - Knowledge Agile (Scrum) Methodology, experience in writing user stories Deep understanding of data service ecosystems including data warehousing, lakes and Marts User experience advocacy through empathetic stakeholder relationship. Effective Communication both internally (with team members) and externally (with stakeholders) Knowledge of Data Warehouse concepts experience with Data Warehouse/ ETL processes Strong process discipline and thorough understating of IT processes (ISP, Data Security). Skills Required: Data Architecture, Data Warehousing, DataForm, Google Cloud Platform - Biq Query, Data Flow, Dataproc, Data Fusion, TERRAFORM, Tekton,Cloud SQL, AIRFLOW, POSTGRES, Airflow PySpark, Python, API Experience Required: Excellent communication, collaboration and influence skills; ability to energize a team. Knowledge of data, software and architecture operations, data engineering and data management standards, governance and quality Hands on experience in Python using libraries like NumPy, Pandas, etc. Extensive knowledge and understanding of GCP offerings, bundled services, especially those associated with data operations Cloud Console, BigQuery, DataFlow, Dataform, PubSub Experience with recoding, re-developing and optimizing data operations, data science and analytical workflows and products. Experience Required: 5+ Years Education Required: Bachelor's Degree TekWissen Group is an equal opportunity employer supporting workforce diversity.

Role Description: As a Data Engineering Lead, you will play a crucial role in overseeing the design, development, and maintenance of our organization's data architecture and infrastructure. You will be responsible for designing and developing the architecture for the data platform that ensures the efficient and effective processing of large volumes of data, enabling the business to make informed decisions based on reliable and high-quality data. The ideal candidate will have a strong background in data engineering, excellent leadership skills, and a proven track record of successfully managing complex data projects. Responsibilities : Data Architecture and Design : Design and implement scalable and efficient data architectures to support the organization's data processing needs Work closely with cross-functional teams to understand data requirements and ensure that data solutions align with business objectives ETL Development : Oversee the development of robust ETL processes to extract, transform, and load data from various sources into the data warehouse Ensure data quality and integrity throughout the ETL process, implementing best practices for data cleansing and validation Big Data Technology - Stay abreast of emerging trends and technologies in big data and analytics, and assess their applicability to the organization's data strategy Implement and optimize big data technologies to process and analyze large datasets efficiently Cloud Integration: Collaborate with the IT infrastructure team to integrate data engineering solutions with cloud platforms, ensuring scalability, security, and performance. Performance Monitoring and Optimization : Implement monitoring tools and processes to track the performance of data pipelines and proactively address any issues Optimize data processing. Documentation : Maintain comprehensive documentation for data engineering processes, data models, and system architecture Ensure that team members follow documentation standards and best practices. Collaboration and Communication : Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and deliver solutions that meet those requirements Communicate effectively with technical and non-technical stakeholders, providing updates on project status, challenges, and opportunities. Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. 6-8 years of professional experience in data engineering In-depth knowledge of data modeling, ETL processes, and data warehousing. In-depth knowledge of building the data warehouse using Snowflake Should have experience in data ingestion, data lakes, data mesh and data governance Must have experience in Python programming Strong understanding of big data technologies and frameworks, such as Hadoop, Spark, and Kafka. Experience with cloud platforms, such as AWS, Azure, or Google Cloud. Familiarity with database systems like SQL, NoSQL, and data pipeline orchestration tools .Excellent problem-solving and analytical skills .Strong communication and interpersonal skills. Proven ability to work collaboratively in a fast-paced, dynamic environment.

About the Role We are looking for an Analytics Engineer with 2+ years of experience to help build and maintain our modern data platform. You'll work with dbt , Snowflake , and Airflow to develop clean, well-documented, and trusted datasets. This is a hands-on role ideal for someone who wants to grow their technical skills while contributing to a high-impact analytics function. Key Responsibilities Build and maintain scalable data models using dbt and Snowflake Develop and orchestrate data pipelines with Airflow or similar tools Partner with teams across DAZN to translate business needs into robust datasets Ensure data quality through testing, validation, and monitoring practices Follow best practices in code versioning, CI/CD, and data documentation Contribute to the evolution of our data architecture and team standards What Were Looking For 2+ years of experience in analytics/data engineering or similar roles Strong skills in SQL and working knowledge of cloud data warehouses (Snowflake preferred) Experience with dbt for data modeling and transformation Familiarity with Airflow or other workflow orchestration tools Understanding of ELT processes, data modeling, and data governance principles Strong collaboration and communication skills Nice to Have Experience working in media, OTT, or sports technology domains Familiarity with BI tools like Looker , Tableau , or Power BI Exposure to testing frameworks like dbt tests or Great Expectations

Job Summary We are seeking an experienced Data Architect with expertise in Snowflake, dbt, Apache Airflow, and AWS to design, implement, and optimize scalable data solutions. The ideal candidate will play a critical role in defining data architecture, governance, and best practices while collaborating with cross-functional teams to drive data-driven decision-making. Key Responsibilities Data Architecture & Strategy: Design and implement scalable, high-performance cloud-based data architectures on AWS. Define data modelling standards for structured and semi-structured data in Snowflake. Establish data governance, security, and compliance best practices. Data Warehousing & ETL/ELT Pipelines: Develop, maintain, and optimize Snowflake-based data warehouses. Implement dbt (Data Build Tool) for data transformation and modelling. Design and schedule data pipelines using Apache Airflow for orchestration. Cloud & Infrastructure Management: Architect and optimize data pipelines using AWS services like S3, Glue, Lambda, and Redshift. Ensure cost-effective, highly available, and scalable cloud data solutions. Collaboration & Leadership: Work closely with data engineers, analysts, and business stakeholders to align data solutions with business goals. Provide technical guidance and mentoring to the data engineering team. Performance Optimization & Monitoring: Optimize query performance and data processing within Snowflake. Implement logging, monitoring, and alerting for pipeline reliability. Required Skills & Qualifications 10+ years of experience in data architecture, engineering, or related roles. Strong expertise in Snowflake, including data modeling, performance tuning, and security best practices. Hands-on experience with dbt for data transformations and modeling. Proficiency in Apache Airflow for workflow orchestration. Strong knowledge of AWS services (S3, Glue, Lambda, Redshift, IAM, EC2, etc.). Experience with SQL, Python, or Spark for data processing. Familiarity with CI/CD pipelines, Infrastructure-as-Code (Terraform/CloudFormation) is a plus. Strong understanding of data governance, security, and compliance (GDPR, HIPAA, etc.). Preferred Qualifications Certifications: AWS Certified Data Analytics Specialty, Snowflake SnowPro Certification, or dbt Certification. Experience with streaming technologies (Kafka, Kinesis) is a plus. Knowledge of modern data stack tools (Looker, Power BI, etc.). Experience in OTT streaming could be added advantage.

Challenging. Meaningful. Life-changing. Those aren t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers. bms. com/working-with-us . Summary: As a Data Engineer based out of our BMS Hyderabad you are part of the Data Platform team along with supporting the larger Data Engineering community, that delivers data and analytics capabilities across different IT functional domains. The ideal candidate will have a strong background in data engineering, DataOps, cloud native services, and will be comfortable working with both structured and unstructured data. Key Responsibilities The Data Engineer will be responsible for designing, building, and maintaining the ETL pipelines, data products, evolution of the data products, and utilize the most suitable data architecture required for our organizations data needs. Responsible for delivering high quality, data products and analytic ready data solution Work with an end-to-end ownership mindset, innovate and drive initiatives through completion. Develop and maintain data models to support our reporting and analysis needs Optimize data storage and retrieval to ensure efficient performance and scalability Collaborate with data architects, data analysts and data scientists to understand their data needs and ensure that the data infrastructure supports their requirements Ensure data quality and integrity through data validation and testing Implement and maintain security protocols to protect sensitive data Stay up-to-date with emerging trends and technologies in data engineering and analytics Closely partner with the Enterprise Data and Analytics Platform team, other functional data teams and Data Community lead to shape and adopt data and technology strategy. Serves as the Subject Matter Expert on Data & Analytics Solutions. Knowledgeable in evolving trends in Data platforms and Product based implementation Has end-to-end ownership mindset in driving initiatives through completion Comfortable working in a fast-paced environment with minimal oversight Mentors other team members effectively to unlock full potential Prior experience working in an Agile/Product based environment Qualifications & Experience 7+ years of hands-on experience working on implementing and operating data capabilities and cutting-edge data solutions, preferably in a cloud environment. Breadth of experience in technology capabilities that span the full life cycle of data management including data lakehouses, master/reference data management, data quality and analytics/AI ML is needed. In-depth knowledge and hands-on experience with ASW Glue services and AWS Data engineering ecosystem. Hands-on experience developing and delivering data, ETL solutions with some of the technologies like AWS data services (Redshift, Athena, lakeformation, etc. ), Cloudera Data Platform, Tableau labs is a plus 5+ years of experience in data engineering or software development Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Strong programming skills in languages such as Python, R, PyTorch, PySpark, Pandas, Scala etc. Experience with SQL and database technologies such as MySQL, PostgreSQL, Presto, etc. Experience with cloud-based data technologies such as AWS, Azure, or Google Cloud Platform Strong analytical and problem-solving skills Excellent communication and collaboration skills Functional knowledge or prior experience in Lifesciences Research and Development domain is a plus Experience and expertise in establishing agile and product-oriented teams that work effectively with teams in US and other global BMS site. Initiates challenging opportunities that build strong capabilities for self and team Demonstrates a focus on improving processes, structures, and knowledge within the team. Leads in analyzing current states, deliver strong recommendations in understanding complexity in the environment, and the ability to execute to bring complex solutions to completion. If you come across a role that intrigues you but doesn t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. With a single vision as inspiring as Transforming patients lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms. com . Visit careers. bms. com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers. bms. com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Challenging. Meaningful. Life-changing. Those aren t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers. bms. com/working-with-us . As a Data Engineer based out of our BMS Hyderabad you are part of the Data Platform team along with supporting the larger Data Engineering community, that delivers data and analytics capabilities across different IT functional domains. The ideal candidate will have a strong background in data engineering, DataOps, cloud native services, and will be comfortable working with both structured and unstructured data. Key Responsibilities The Data Engineer will be responsible for designing, building, and maintaining the ETL pipelines, data products, evolution of the data products, and utilize the most suitable data architecture required for our organizations data needs. Responsible for delivering high quality, data products and analytic ready data solution Work with an end-to-end ownership mindset, innovate and drive initiatives through completion. Develop and maintain data models to support our reporting and analysis needs Optimize data storage and retrieval to ensure efficient performance and scalability Collaborate with data architects, data analysts and data scientists to understand their data needs and ensure that the data infrastructure supports their requirements Ensure data quality and integrity through data validation and testing Implement and maintain security protocols to protect sensitive data Stay up-to-date with emerging trends and technologies in data engineering and analytics Closely partner with the Enterprise Data and Analytics Platform team, other functional data teams and Data Community lead to shape and adopt data and technology strategy. Serves as the Subject Matter Expert on Data & Analytics Solutions. Knowledgeable in evolving trends in Data platforms and Product based implementation Has end-to-end ownership mindset in driving initiatives through completion Comfortable working in a fast-paced environment with minimal oversight Mentors other team members effectively to unlock full potential Prior experience working in an Agile/Product based environment Qualifications & Experience 7+ years of hands-on experience working on implementing and operating data capabilities and cutting-edge data solutions, preferably in a cloud environment. Breadth of experience in technology capabilities that span the full life cycle of data management including data lakehouses, master/reference data management, data quality and analytics/AI ML is needed. In-depth knowledge and hands-on experience with ASW Glue services and AWS Data engineering ecosystem. Hands-on experience developing and delivering data, ETL solutions with some of the technologies like AWS data services (Redshift, Athena, lakeformation, etc. ), Cloudera Data Platform, Tableau labs is a plus 5+ years of experience in data engineering or software development Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Strong programming skills in languages such as Python, R, PyTorch, PySpark, Pandas, Scala etc. Experience with SQL and database technologies such as MySQL, PostgreSQL, Presto, etc. Experience with cloud-based data technologies such as AWS, Azure, or Google Cloud Platform Strong analytical and problem-solving skills Excellent communication and collaboration skills Functional knowledge or prior experience in Lifesciences Research and Development domain is a plus Experience and expertise in establishing agile and product-oriented teams that work effectively with teams in US and other global BMS site. Initiates challenging opportunities that build strong capabilities for self and team Demonstrates a focus on improving processes, structures, and knowledge within the team. Leads in analyzing current states, deliver strong recommendations in understanding complexity in the environment, and the ability to execute to bring complex solutions to completion. If you come across a role that intrigues you but doesn t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. With a single vision as inspiring as Transforming patients lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms. com . Visit careers. bms. com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers. bms. com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

We are currently hiring for a Data Architect role with a leading technology-driven team focused on building scalable, AI-integrated systems. Please find the job details below: Role: Data Architect Location: Bangalore Experience: 5-8 years Work mode: Hybrid (3 days/week from office) Job description: High-Level Requirements: Design scalable, secure, and flexible data architecture spanning the entire PIQ lifecyclefrom PoC through PIQ v1, v2, and v3. Architect hybrid graph-relational data models capturing complex multi-tier supplier-component relationships. Design data ingestion pipelines supporting external data and Bring Your Own Data (BYOD) integration. Ensure data governance, quality, lineage, and compliance across all product versions. Collaborate with technical leadership to define long-term data strategy and roadmap. Plan for scalability to cover extended supplier networks and support advanced analytics, risk scoring, and scenario modelling. Job Requirments: Extensive experience in enterprise data architecture and design. Expertise in graph and relational database technologies. Strong knowledge of data governance, security, and compliance. Proven ability to architect scalable data platforms integrating diverse data sources. Excellent leadership, strategic thinking, and collaboration skills. Regards, Arun Kumar. A

About the Role We are seeking a highly skilled and experienced Data Architect to join our team. The ideal candidate will have at least 18 years of experience in Data engineering and Analytics and a proven track record of designing and implementing complex data solutions. As a senior principal data architect, you will be expected to design, create, deploy, and manage Blackbauds data architecture. This role has considerable technical influence within the Data Platform, Data Engineering teams, and the Data Intelligence Center of Excellence at Blackbaud. This individual acts as an evangelist for proper data strategy with other teams at Blackbaud and assists with the technical direction, specifically with data, of other projects. What you'll do Develop and direct the strategy for all aspects of Blackbauds Data and Analytics platforms, products and services Set, communicate and facilitate technical direction more broadly for the AI Center of Excellence and collaboratively beyond the Center of Excellence Design and develop breakthrough products, services or technological advancements in the Data Intelligence space that expand our business Work alongside product management to craft technical solutions to solve customer business problems. Own the technical data governance practices and ensures data sovereignty, privacy, security and regulatory compliance. Continuously challenging the status quo of how things have been done in the past. Build data access strategy to securely democratize data and enable research, modelling, machine learning and artificial intelligence work. Help define the tools and pipeline patterns our engineers and data engineers use to transform data and support our analytics practice Work in a cross-functional team to translate business needs into data architecture solutions. Ensure data solutions are built for performance, scalability, and reliability. Mentor junior data architects and team members. Keep current on technologydistributed computing, big data concepts and architecture. Promote internally how data within Blackbaud can help change the world. What you'll bring 18+ years of experience in data and advanced analytics At least 8 years of experience working on data technologies in Azure/AWS Expertise in SQL and Python Expertise in SQL Server, Azure Data Services, and other Microsoft data technologies. Expertise in Databricks, Microsoft Fabric Strong understanding of data modeling, data warehousing, data lakes, data mesh and data products. Experience with machine learning Excellent communication and leadership skills. Preferred Qualifications Experience working with .Net/Java and Microservice Architecture Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

Job Title: Erwin Data Modeler, Insurance domain Location: Any Job Type: Full-Time | 2-11pm Shift Job Summary We are seeking a skilled and experienced Data Modeler with hands-on expertise in Erwin Data Modeling to join our team. The ideal candidate will have a strong background in data architecture and modeling, with a minimum of 4 years of relevant experience. Knowledge of the insurance domain is a significant plus. Key Responsibilities Design, develop, and maintain conceptual, logical, and physical data models using Erwin Data Modeler. Collaborate with business analysts, data architects, and developers to understand data requirements and translate them into data models. Ensure data models align with enterprise standards and best practices. Perform data analysis and profiling to support modeling efforts. Maintain metadata and documentation for data models. Support data governance and data quality initiatives. Participate in reviews and provide feedback on data models and database designs. Required Skills & Qualifications Strong understanding of data modeling concepts including normalization, denormalization, and dimensional modeling. Knowledge on any relational database will be an advantage. Familiarity with data warehousing and ETL processes. Excellent analytical and problem-solving skills. Strong communication and collaboration abilities.

Join us as a Data Engineer You ll be the voice of our customers, using data to tell their stories and put them at the heart of all decision-making We ll look to you to drive the build of effortless, digital first customer experiences If you re ready for a new challenge and want to make a far-reaching impact through your work, this could be the opportunity you re looking for Were offering this role at vice president level What youll do As a Data Engineer, you ll be looking to simplify our organisation by developing innovative data driven solutions through data pipelines, modelling and ETL design, inspiring to be commercially successful while keeping our customers, and the bank s data, safe and secure. You ll drive customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tool to gather and build data solutions. You ll support our strategic direction by engaging with the data engineering community to deliver opportunities, along with carrying out complex data engineering tasks to build a scalable data architecture. Your responsibilities will also include: Building advanced automation of data engineering pipelines through removal of manual stages Embedding new data techniques into our business through role modelling, training, and experiment design oversight Delivering a clear understanding of data platform costs to meet your departments cost saving and income targets Sourcing new data using the most appropriate tooling for the situation Developing solutions for streaming data ingestion and transformations in line with our streaming strategy The skills youll need To thrive in this role, you must have twelve years expereince and you ll need a strong understanding of data usage and dependencies and experience of extracting value and features from large scale data. You ll also bring practical experience of programming languages alongside knowledge of data and software engineering fundamentals. Additionally, you ll need: Experience of data engineering toolsets such as Airflow, RDBM tools like PGSQL/Oracle/DB2, Snowflake, S3, EMR/DataBricks and Data Pipelines etc. Proficiency in Python, PySpark, SQL, CICD pipelines, Git version control Experience in reporting tools such as QuickSight would be an added advantage Good understanding of Database, Data Warehouse and ETL concepts Strong communication skills with the ability to proactively engage and manage a wide range of stakeholders Hours 45 Job Posting Closing Date: 29/07/2025

About Forma.ai: Forma.ai is a Series B startup thats revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We re welcoming equally driven individuals who are excited about creating something big! About the Team: The Customer Operations team works closely with new and existing customers by implementing product features, managing the operational parts of the platform, and optimizing our client s sales performance management processes. We are always ready to support and help our customers to identify ways they can unleash the revenue-driving potential of their sales compensation program. If you re passionate about data analytics and want to contribute to sales operations, we d love to hear from you! What you ll be doing: Work with new and existing customers to implement the companys new platform features as well as manage and optimize client processes Learn the architecture and design of the companys platform to the extent of being able to independently complete updates, enhancements, and change requests Lead onboarding & activities, including requirements gathering for incentive compensation plan rules, data analysis, and quality control Assist the ongoing operations for a portfolio of existing customers and implement new features (i.e. rule building, process execution, reporting and dashboarding, and product support) Scope, build and test automated workflows, processes and reporting capabilities to support automation of incentive compensation processes and improve business visibility Support design projects including analysis, financial modelling, project planning, customer workshops, and presentation/recommendation of findings Interact with key customer stakeholders to coordinate project execution Hire, guide and coach a team of Analysts, Associates, and Managers to be high performing and client focused Act as the main point of contact for senior customer stakeholders Act as a key point of contact to articulate customer feedback and support the development of new product features Act as a key point of contact for the companys to implement new platform features across customers to support continuous product improvement What were looking for: Education or Background in Engineering, Commerce, Mathematics and/or Statistics +6 years of working experience Experience in working with large datasets (SQL) and a strong understanding of logical structures of databases and workflows a plus Strength in Excel to perform data profiling, segmentation, and aggregation Understanding of data architecture and process flows Analytical problem-solving ability, organizational, and project management skills Ability to take ownership and run with tasks in a fast-paced and evolving environment Understanding of common analytical and presentation tools (i.e., Excel, PowerPoint) Nice to haves: Experience with SQL and/or Python Experience with sales incentive compensation Our values: Work well, together. We re real. We have kids and pets. Mortgages and student loans. We re in this together, so no matter how brilliant any one of us is, we always play nice with one another - no exceptions. Be precise. Be relentless. We believe complacency breeds failure, so we set new goals as quickly as we achieve them. We persist in the face of adversity, learn from our mistakes, and push each other to continuously improve. The status-quo is kryptonite. Love our tech. Love our customers. Our platform solves a very complex problem in a currently underserved market. While everyone at Forma isn t customer-facing, we re all customer-focused. Maybe even slightly customer-obsessed. Our commitment to you: We know that applying to a new role takes a lot of effort. Youre encouraged to apply even if your experience doesnt precisely match the job description. There are many paths to a successful career and we re looking forward to reading yours. We thank all applicants for their interest.

Our Company: We re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We re crucial to the company s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don t expect you to fit every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The team: We are seeking a highly skilled and experienced Senior API Integration Developer to join our team. The ideal candidate will have extensive experience in developing and managing API integrations, ensuring seamless data flow between systems. This role will be crucial in supporting our data fabric and data mesh hybrid data foundation. The role: I this role you will design, develop, and maintain API integrations to support business applications and data systems. Youw will collaborate with cross-functional teams to understand integration requirements and provide technical solutions as well as ensure the security, scalability, and performance of API integrations. You will troubleshoot and resolve integration issues in a timely manner, develop and maintain documentation for API integrations and processes, with experience in Swagger-like API documentation being a must. You will always stay updated with the latest API integration technologies and best practices; will provide training and support to junior developers on API integration techniques, while working closely with the Data Integration Architect to ensure alignment with overall data architecture. What you ll bring: Bachelors or Masters degree in Computer Science, Information Technology, or a related field. Extensive experience in API development and integration. Proficiency in API management tools such as Postman, Swagger, or Apigee. Strong knowledge of RESTful and SOAP APIs. Experience with programming languages such as Java, Python, or JavaScript. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work independently and as part of a team. Prior experience working with SnapLogic integration platform is a plus. Prior knowledge of creating APIs on Graph DB is required. Preferred Skills: Experience with cloud-based integration platforms such as AWS, GCP, or Azure. Familiarity with microservices architecture. Knowledge of data integration tools such as MuleSoft or Dell Boomi. Certification in API development or integration. About us We re a global, 1000-stong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you re not just another employee; you re part of a tradition of excellence and a community working towards creating a digital future. #LI-RC Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We re proud to say we re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

This internationally acclaimed institution offers you the opportunity to utilize your unique skill set to lead the way toward the technology of the future. Join forces with some of the leading minds in the industry and pave the path toward a better tomorrow. As a Manager of Data Architecture at JPMorgan Chase within the Consumer & Community Banking, you will oversee several data architecture teams, guiding them through daily implementation tasks. Your role involves identifying and addressing issues, ensuring compliance with standards, meeting business requirements, and applying tactical best practices to your teams work. . Job responsibilities Provides guidance to immediate team of data architects on daily tasks and activities Sets overall guidance and expectations for team output, practices, and collaboration Anticipates dependencies with other teams to deliver data architecture solutions in line with business requirements Manages stakeholder relationships and the team s work in accordance with compliance standards, service level agreements, and business requirements Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience Experience leading data architecture projects Experience managing data architects Proficiency in automation and continuous delivery methods Proficiency in all aspects of the Software Development Life Cycle Advanced understanding of data architecture methodologies In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Experience working at code level This internationally acclaimed institution offers you the opportunity to utilize your unique skill set to lead the way toward the technology of the future. Join forces with some of the leading minds in the industry and pave the path toward a better tomorrow. As a Manager of Data Architecture at JPMorgan Chase within the Consumer & Community Banking, you will oversee several data architecture teams, guiding them through daily implementation tasks. Your role involves identifying and addressing issues, ensuring compliance with standards, meeting business requirements, and applying tactical best practices to your teams work. . Job responsibilities Provides guidance to immediate team of data architects on daily tasks and activities Sets overall guidance and expectations for team output, practices, and collaboration Anticipates dependencies with other teams to deliver data architecture solutions in line with business requirements Manages stakeholder relationships and the team s work in accordance with compliance standards, service level agreements, and business requirements Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience Experience leading data architecture projects Experience managing data architects Proficiency in automation and continuous delivery methods Proficiency in all aspects of the Software Development Life Cycle Advanced understanding of data architecture methodologies In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Experience working at code level

About us We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society s evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobil s affiliates in India ExxonMobil s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region. ExxonMobil s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework. To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India . What role you will play in team ExxonMobil s Planning & Stewardship (P&S DIGITAL) has a mission to develop enterprise data sets in support of the corporate strategy to treat data as an asset to maximize business value. The Data Architect may work independently or work closely with other Data Architects, subject matter experts (SMEs), data engineers and developers to design enterprise data sets and consult with projects to ensure data architecture is aligned with enterprise data principles and standards. The position will report to the Data Architect Manager. Job will be based at Bangalore , Whitefield office ( WFO) for 5 days in a week. What you will do The P&S DIGITAL Data Architect will work towards building and/or providing knowledge in support of the overall P&S digital mission and data strategy. To achieve these goals, the Data Architect will be required to analyze current state data architectures and conceive desired future state data architectures and identify activities needed to close the gap to achieve the future state. Some examples of these activities/deliverables are: Deliver Data Artifacts: Drive the creation of data reference architectures, models, and structures for business domains. Strategic Guidance: Provide strategic direction on data components and endorse data architecture assessments. Design & Implementation: Design and implement data models, schemas, and structures for planning and stewardship. Develop & Test Pipelines: Develop and test data pipelines, ETL processes, and system integration with IT Documentation Coordination: Ensure completion of data definitions, ownership, standards, policies, and procedures About you Required Skills and Qualifications: Educational Background: Master s or bachelor s degree in business, computer science, engineering, systems analysis, or a related field. Degrees & certifications required for the job should be listed here, listing B.S. or equivalent work experience in this section is acceptable if an actual degree is not required Leadership Experience: Experience leading initiatives in these domains is desirable. Data Concepts: Familiarity with data governance, modeling, and integration. Technical Skills: Understanding of databases, data warehouses (e.g., Snowflake), SQL, and table/view design. ETL & Cloud Solutions: Ability to design/implement data connections (ETL) to/from cloud solutions (APIs, Azure Data Factory, Qlik, Fivetran). Experience: Minimum 3 years in data design/architecture with a strong willingness to continue learning. Recent Experience: Developing reference data architecture, data modeling (conceptual, logical, physical), data profiling, data quality analysis, and building business data glossaries and catalogs. Data Governance: Knowledge of data governance and master/reference data management programs. Tool Proficiency: Experience with SQL Server, SQL query language, and E/R Studio data modeling tool. Agile Experience: Experience working with agile delivery teams. Soft Skills: Effective planning, communication, collaboration, and persuasion skills to drive change. Communication Skills: Expert written and verbal communication skills; familiarity with SharePoint for collaboration. Self-Starter: Takes initiative and can work in a fast-paced environment. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Join us as a Data Engineer This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences You ll be simplifying the bank by developing innovative data driven solutions, using insight to be commercially successful, and keeping our customers and the bank s data safe and secure Participating actively in the data engineering community, you ll deliver opportunities to support the bank s strategic direction while building your network across the bank Were offering this role at associate level What youll do As a Data Engineer, you ll play a key role in driving value for our customers by building data solutions. You ll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. You ll also be: Developing comprehensive knowledge of the bank s data structures and metrics, advocating change where needed for product development Practicing DevOps adoption in the delivery of data engineering, proactively performing root cause analysis and resolving issues Collaborating closely with core technology and architecture teams in the bank to build data knowledge and data solutions Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions Sourcing new data using the most appropriate tooling and integrating it into the overall solution to deliver for our customers The skills youll need To be successful in this role, you ll need a minimum of four years of experience with good understanding of data usage and dependencies with wider teams and the end customer, as well as experience of extracting value and features from large scale data. You ll also demonstrate: Experience of ETL technical design, including data quality testing, cleansing and monitoring, and data warehousing and data modelling capabilities Proficiency in Python, PySpark, SQL, CICD pipelines, Git version control Experience in data engineering toolsets such as Airflow, RDBMs (PGSQL/Oracle/DB2), Snowflake, S3, EMR,DataBricks and Data Pipelines Experience in reporting tools such as QuickSight Hours 45 Job Posting Closing Date: 28/07/2025

The Economist is a leading source of analysis on international business and world affairs. We deliver our information through a range of formats, from newspapers and audio to conferences and electronic services. What ties us together is the objectivity of our opinion, the originality of our insight and our advocacy of economic and political freedom around the world. Within the Economist group, we are in a fortunate situation where we have a thriving B2C circulation business and a growing B2B business, including media, content, event, subscription and consulting. We are looking for a Salesforce Marketing Cloud Developer to join the team responsible for the development, maintenance and administration of the marketing tech stack, centred on the salesforce ecosystem. We work with business owners in marketing and product to deliver scalable, innovative and future-proofed solutions, helping the group realise maximum value from their marketing technology investments. How you will contribute: Developing solutions end-to-end in-line with business requirements and development principles. Contributing to technical solution design. Liaising and collaborating with marketing and product colleagues to help them get the most out of marketing technology. Identifying and delivering on training needs amongst end-users. Documenting technical designs, training resources and key engineering decisions. Presenting solutions to the wider business and senior leadership. Working with QA engineers to make sure quality requirements are met and acceptance criteria satisfied. Recommending appropriate marketing tech enhancements and keeping on top of innovations within the marketing automation space. Participating in team retros and making recommendations regarding ways of working. Adhering to security and data governance principles. Adhering to development principles regarding security, resilience and performance. Occasionally responding to out-of-hours support requests. The ideal skills for the role are: Salesforce Marketing Cloud Email Specialist Certification desired. Salesforce Marketing Cloud Administrator or Developer Certification desired. Advanced knowledge of Salesforce Marketing Cloud, including: Journey builder Email studio Automation studio Contact builder SFMC connector Mobile studio. Advertising studio. Marketing Cloud data architecture. Marketing Cloud administration. Advanced HTML and CSS for email. Advanced AMPscript. Advanced SQL. Experience with email render testing. An understanding of Salesforce CRM. Understanding of email deliverability and the infrastructure that impacts deliverability. Experience working across multiple teams, managing stakeholder expectations and delivering to deadlines. #LI-Hybrid What we offer Benefits We offer excellent benefits including an incentive programme, generous annual and parental leave policies, volunteering days and well-being support throughout the year, as well as free access to all Economist content. Country specific benefits are also offered. Our Values Our values are a collective set of beliefs and behaviours that strengthen The Economist Groups purpose and demonstrate where we want to be as an organisation. They reflect on our mission to pursue progress for individuals, organisations and the world. Independence We are not bound to any party or interest and encourage exploration and free-thinking. We champion freedom, both within our organisation and around the world. Integrity We are bold in our efforts to uncover the truth and stand up for what we believe in. We inspire trust through our rigour, fact-checking and transparency. Excellence We aspire to the highest standards in all we do. We are ambitious and inquisitive in our pursuit of continuous progress and innovation. Inclusivity We value diversity in thought and background and encourage healthy debate with a breadth of perspectives. We treat our colleagues and customers fairly and respectfully. Openness

Job Description: Senior Solution Architect Job Location: Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai Responsibilities: Architectural Leadership: Lead the design and implementation of cloud-based applications across AWS, Azure, or other cloud platforms. Modern Architectures: Develop and implement event-driven architectures, microservices, and observability frameworks. Comprehensive Modelling: Address application, technology, and data architecture modelling effectively. Team Leadership: Guide and mentor teams, negotiate technology trends, and make informed technology choices amidst conflicting demands. Emerging Technologies: Stay abreast of and integrate emerging technologies, particularly Generative AI, into development and modernization efforts. Governance and Standards: Define and implement architectural governance and standards. Stakeholder Engagement: Collaborate with senior-level stakeholders to align technology strategies with business goals. Risk Management: Identify and mitigate technical and operational risks. Qualifications: Experience: 14-18 years of experience in technology architecture, with a strong focus on cloud-based application development and modernization. Emerging Technologies: Strong knowledge in Generative AI and other emerging technologies in development and modernization. Certification: Certified in OpenGroup TOGAF. Technical Skills: Proficient in AWS, Azure, and other cloud platforms; conversant with event-driven architectures, microservices, and observability. Leadership Skills: Proven ability to lead teams, manage technology trends, and guide technology choices. Communication: Excellent verbal and written communication skills, with the ability to present complex technical concepts to non-technical stakeholders. Problem-Solving: Strong analytical and problem-solving skills, with a strategic mindset. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Conduct comprehensive current state analysis of existing data systems, processes, and frameworks of an organization. Provide strategic recommendations and design target state for optimizing data-related processes, structures, and systems. Participate in Data Maturity assessments. Drive CXO conversations effectively. Lead and facilitate engagements in data governance, establishing policies, procedures, and frameworks to ensure metadata, master data, data quality, security, and compliance. Develop and define future state data architectures aligned with industry best practices and organizational needs. Collaborate closely with cross-functional teams and stakeholders to ensure seamless integration of data strategies with business objectives. Utilize expertise in cloud technologies e.g., GCP, Azure, and AWS, to guide and implement data strategies in cloud-based environments. Help in providing tools/technology advisory to customers by creating market scan reports, technology comparison frameworks and selection, creating technology architecture. Drive RFI/RFP and presales engagements. Lead and contribute to offerings development, provide thought leadership. Leverage industry knowledge to drive business discussions, identify industry wise data strategy challenges and provide industry specific best practices. Following industry experience is preferred Retail/CPG and Automobile. Ability to understand data and derive key performance indicators (KPIs) Your Profile Bachelors degree in computer science, Information Technology, or any related field. MBA from a tier 1 and tier 2 college preferred. Proven experience in advisory and consultancy roles focused on data strategy and architecture. At least 1 end to end consulting engagement experience. Proficiency in cloud technologies, particularly GCP, Azure, and AWS, with relevant certifications preferred. Experience in leading and managing data governance, data modeling, and operating model initiatives. Should be aware of latest tech trends in data and applications of advanced AI technologies across Industry sectors. Strong knowledge of DAMA and TOGAF frameworks and principles. Certifications preferred. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC & Summary Full Stack Developer with Gen AI & Cloud Expertise Position Title Full Stack Lead Developer Job Overview We are seeking a highly skilled and versatile polyglot Full Stack Developer with expertise in modern frontend and backend technologies, cloudbased solutions, AI/ML and Gen AI. The ideal candidate will have a strong foundation in fullstack development, cloud platforms (preferably Azure), and handson experience in Gen AI, AI and machine learning technologies. Key Responsibilities Develop and maintain web applications using Angular / React.js , .NET , and Python . Design, deploy, and optimize Azure native PaaS and SaaS services, including but not limited to Function Apps , Service Bus , Storage Accounts , SQL Databases , Key vaults, ADF, Data Bricks and REST APIs with Open API specifications. Implement security best practices for data in transit and rest. Authentication best practices SSO, OAuth 2.0 and Auth0. Utilize Python for developing data processing and advanced AI/ML models using libraries like pandas , NumPy , scikitlearn and Langchain , Llamaindex , Azure OpenAI SDK Leverage Agentic frameworks like Crew AI, Autogen etc. Well versed with RAG and Agentic Architecture. Strong in Design patterns Architectural, Data, Object oriented Leverage azure serverless components to build highly scalable and efficient solutions. Create, integrate, and manage workflows using Power Platform , including Power Automate , Power Pages , and SharePoint . Apply expertise in machine learning , deep learning , and Generative AI to solve complex problems. Primary Skills Proficiency in React.js , .NET , and Python . Strong knowledge of Azure Cloud Services , including serverless architectures and data security. Experience with Python Data Analytics libraries pandas NumPy scikitlearn Matplotlib Seaborn Experience with Python Generative AI Frameworks Langchain LlamaIndex Crew AI AutoGen Familiarity with REST API design , Swagger documentation , and authentication best practices . Secondary Skills Experience with Power Platform tools such as Power Automate, Power Pages, and SharePoint integration. Knowledge of Power BI for data visualization (preferred). Preferred Knowledge Areas Nice to have Indepth understanding of Machine Learning , deep learning, supervised, unsupervised algorithms. Mandatory skill sets AI, ML Preferred skill sets AI, ML Years of experience required 3 7 years Education qualification BE/BTECH, ME/MTECH, MBA, MCA Education Degrees/Field of Study required Master of Business Administration, Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred Required Skills AI Programming Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 28 more} Travel Requirements Government Clearance Required?

SAFe B2B Portfolio architect to support customer journeys within the Service Management perimeter (Incident management, Change management, Customer reporting, Customer solutions end-to-end monitoring, ) Your missions Lead the architecture within the I Use I need Help SAFe Portfolio in sync with multiple teams from Customer Experience, Operations, Marketing, Global Process, IT, etc Ensure architectural consistency and alignment with enterprise-wide architecture strategies Define the Portfolio functional, software and technical IT strategy & architecture Design a future-ready, cost-efficient IT with business & IT teams Your main activities You operate in a context of large-scaled agility You provide architectural guidance and governance at the Portfolio level, ensuring alignment with SAFe practices and principles: You manage architecture demands within your Portfolio You collaborate with Enterprise Architects (at Orange Business level) to ensure that Portfolio-specific architectures fit within the broader architecture framework and Orange Business strategy You work closely with Solution Architects & Customer Architects to ensure each solution is aligned with the overall Portfolio roadmap and business goals You animate a System Architects (from Delivery Value Streams) circle within your Portfolio You define and maintain the Portfolio target architecture, aligned with business objectives You lead the efforts for building the Architecture runway You lead architecture initiatives within the Portfolio, with a focus on seamless integration across systems and services You act as the Business Owner for Enablers EPICs You ensure Portfolio architecture is consistent with enterprise-wide architecture strategies and complies with architecture standards and best practices You drive continuous improvement of the Portfolio architecture, adapting to changes in technology and business requirements You facilitate cross-Portfolios collaboration with other Portfolio architects, ensuring that shared services, data, and technologies are leveraged effectively across Portfolios You bring your knowledge about external frameworks, standards and guidelines (TMF, Open Digital Architecture, ) You establish strategies for data architecture to uphold the precision, consistency, and security You propose solutions to enhance the efficiency of systems, cut costs, and elevate the customer & Orange employee experience You describe the transformation steps from the as-is architecture situation towards the target architecture to be reached You develop and uphold architectural documentation You keep abreast of emerging technologies and industry developments Your qualifications: 15+ years total experience with 10+ relevant experience Excellent client facing communication skills Ability to communicate effectively with technical teams and business stakeholders Proven ability to manage architecture (functional, software & technical) in a large, scaled agile environment Strong experience with SAFe framework and Portfolio-level architecture SAFe for Architect certified Understanding of B2B Telecommunications products and processes: proven experience with industry frameworks like TM Forum, Open Digital Architecture (ODA), and telecom-specific technologies is a plus Very good knowledge of ITIL processes for Operations Support Systems: Case Management, Incident/Problem Management, Change Management, Knowledge Management, Maintenance Operations Management, Scheduled works, Intervention Management, Customer & Orange employee reporting, Observability and Monitoring Knowledge of following editors solutions: Service Now, Splunk, Ciena UAA Knowledge of automation engine for change network as code, net dev environment in a zero-touch-access approach Familiarity with modern architecture patterns, cloud technologies, and enterprise integration approaches Proven experience with architecture governance on complex projects / programs, including key design decisions Expertise in architectural frameworks such as TOGAF, Zachman, or similar is a plus Working experience with architecture tools Problem-solving skills Autonomy

The Fusion Data Intelligence Platform is an evolution of the Oracle Fusion Analytics Warehouse product, which will deliver business data-as-a-service with automated data pipelines, 360-degree data models for key business entities, rich interactive analytics, AI/ML models, and intelligent applications. These out-of-box capabilities will run on top of the Oracle Cloud Infrastructure (OCI) Data Lakehouse services, including Oracle Autonomous Database and Oracle Analytics Cloud, which enables full extensibility at the data, analytics, AI/ML, and application layers. Given these, there is an urgent need to augment the team to develop valuable new features for the FDIP platform. These projects require strong skills on Full stack, Backend, Big data technology skills. For this position, we are looking for Sr. Data Engineer/Modeler with experience in data warehousing projects. You will work with various large scale data systems like Product Usage and Application Performance to deliver data model powering insights platforms. You will work as part of the team designing all aspects of data management practices for the cloud. Responsibilities: Translate business requirements into logical/physical data models that are easy to understand. Design declarative data warehouse transformation rules/guidelines, for extraction/sourcing, loading and transformation Use SQL queries/custom scripts for rapid prototyping data model/transforms Design, develop unit/integration test data/plan and scripts for data model deliverables. Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow Required Skills BS or higher degree in Computer Science, Computer Engineering or equivalent with 5+ years of applied experience 5+ years of experience working in ETL, ODI, data architecture/modeling, data integrations. Expertise in data modeling principles/methods including conceptual, logical & physical Data Models Experience in developing BI Semantic Models Experience in working with dimensionally modeled data Experience in Business Intelligence tools (Tableau, OAC, Domo) to represent insights Knowledge of statistical inference, forecasting, multivariate analysis, cluster analysis, and optimization Experience in developing/supporting data solutions over multiple releases Experience with databases, performance tuning SQL and understanding ETL pipelines Exposure to Python or Java, and big data systems (Spark, Hive, Hadoop) Experience with data modeling software As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.