What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world. At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful. And this is your chance to be part of the success story: we are looking for a Data Migration Architect to join our team in Sweden. **About the team** Cognizant collaborates with all major hyperscale’s and relevant software vendors in the data and AI space. This includes partnerships with industry leaders such as AWS, Microsoft, Google, Snowflake, and Databricks. Our comprehensive approach ensures that we leverage the best tools and technologies to deliver scalable, secure, and efficient solutions. Additionally, we are supported locally by our dedicated Centres of Excellence, which operate both nearshore and offshore. These centres provide specialized expertise and resources, ensuring that we can meet the unique needs of our clients and drive innovation in AI and data cost effectively. **About the Role** We are looking for a seasoned Senior Data Engineer to join our Banking and Financial Services (BFS) analytics team. The ideal candidate will be responsible for designing, building, and deploying scalable data products on a modern enterprise analytics platform leveraging Azure, Databricks, Immuta, and Unity Catalog. This role requires strong experience in SAFe Agile, ETL integration (Ab Initio/Informatica), DevOps/MLOps, and advanced pipeline development and deployment. The role is located in Stockholm. **Key Responsibilities** + Data Product Architecture & Development + Design and implement scalable data products with a clear understanding of data product lifecycle and architecture. + Build robust data pipelines using Python, Spark, and Databricks. + Ensure data products are reusable, modular, and aligned with BFS business needs. + Platform Engineering & Integration + Leverage Azure Data Services, Unity Catalog, and Immuta for secure and governed data access. + Integrate with legacy ETL tools such as Ab Initio or Informatica to support hybrid data environments. + DevOps & MLOps Enablement + Implement CI/CD pipelines for data workflows and support MLOps practices for model deployment and monitoring. + Collaborate with data scientists and ML engineers to operationalize machine learning models. + Release Management + Own release planning, versioning, and deployment of data products across multiple environments. + Ensure compliance with governance, audit, and security standards. + Agile Delivery + Work within a SAFe Agile framework, actively participating in PI planning, sprint execution, and retrospectives. + Collaborate with product owners, architects, and cross-functional teams to deliver high-quality data solutions. **Required Skills & Experience** + 7+ years of experience in data engineering, preferably in BFS or financial services domain. + Strong expertise in Azure, Databricks, Python, Spark, and SQL. + Hands-on experience with Immuta and Unity Catalog for data governance and access control. + Proficiency in Ab Initio or Informatica ETL tools. + Solid understanding of DevOps/MLOps practices and tools (e.g., Git, Azure DevOps, MLflow). + Experience in SAFe Agile delivery environments. + Proven experience in release management and enterprise-grade deployment processes. + Strong grasp of data product architecture, including metadata, lineage, and modular design principles. **What you can expect** + Become part of a ‘flag ship’ success story - We go through enormous growth! + Organization driven by technology – We have a tremendous technology backbone + Environment where you can make your own ideas reality + Drive your own career + Market conforms benefits Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.