Data Platform Architect- (Databricks + Snowflake)
Job Description, Responsibilities & Requirements
About the Position
Data Platform Architect- (Databricks + Snowflake)
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.
Responsibilities
- 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.
Requirements
- 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.
Nice to Have
- 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 Offer
- Compensation: Annual salary between $130,000 - $160,000 depending on experience and qualifications.
- 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
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 through our various wellbeing programs.
About the Company
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process, and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes, and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Application Process
Applications will be accepted until July 30, 2026. 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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status, or any other characteristic protected by federal, state, or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.