Data Platform Architect- (Databricks + Snowflake)

Data Platform Architect- (Databricks + Snowflake) Please note, this role is not able to offer visa transfer or sponsorship now or in the future. About the role As a Data & Analytics Architect, you will make an impact by leading the design and evolution of a modern, scalable enterprise data platform built on Databricks Lakehouse and Snowflake, while enabling a Data Exchange and Data Marketplace ecosystem. You will be a valued member of the Data & Analytics team and work collaboratively with business and technology stakeholders across lines of business and external partners. In this role, you will: Define and implement modern data platform architecture, using Databricks for ingestion, processing, and transformation (Bronze/Silver/Gold) and Snowflake for consumption, semantic layer, and downstream analytics. Architect a Data Exchange / Data Marketplace platform that enables secure, API-driven data sharing across internal business units and external partners. Define and operationalize Data-as-a-Product concepts, including domain-aligned data products, standardized data contracts, and SLAs. Design a unified data platform that integrates structured and unstructured data and supports hybrid cloud data ecosystems. Define an enterprise-wide data governance framework covering metadata management, lineage, data cataloging, access control, and compliance. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Hartford, Connecticut. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered 15+ years of experience in Data & Analytics architecture. Hands-on expertise in Databricks, including Lakehouse, Spark, Delta Lake, and Unity Catalog. Hands-on expertise in Snowflake, including data warehousing, data sharing, and external tables. Strong experience in data modeling across lakehouse and warehouse environments. Strong experience in data ingestion, pipeline design, and distributed data processing. These will help you stand out Experience with Data Exchange / Data Marketplace platforms and Data-as-a-Product implementations. Experience with data virtualization and semantic layers. Exposure to the AWS ecosystem (S3, IAM, orchestration tools) and API-led data integration. Exposure to GenAI and AI-enabled analytics. Experience in the Insurance domain (Policy, Claims, Underwriting data) or enterprise data hub / unified data platform initiatives. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. Salary and Other Compensation Applications will be accepted until July 30,2026. The annual salary for this position is between $130,000- $160,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits: Medical/Dental/Vision/Life Insurance Paid holidays plus Paid Time Off 401(k) plan and contributions Long-term/Short-term Disability Paid Parental Leave Employee Stock Purchase Plan The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Disclaimer 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. #J-18808-Ljbffr Cognizant