Databricks Data Products Architect - Hybrid London

Cognizant Technology Solutions Corporation; Greater London; Híbrido; GBP 90.000 - 140.000; Jornada completa

Descripción de la vacante

Cognizant Technology Solutions Corporation is seeking a Data Products Architect – Databricks to lead enterprise data product design on a Databricks Lakehouse platform. You will define standards, governance, and architectural patterns to enable trusted, reusable data consumption across multiple business domains.

You will collaborate with product owners, data engineers, governance teams, and stakeholders to implement self-service analytics while upholding stringent security and governance

Formación

• 10+ years of experience in Data Architecture or related disciplines.
• Experience delivering data products on modern cloud platforms.
• UK Public Sector / regulated environments experience preferred.
• Strong governance, metadata, and data stewardship knowledge.

Responsabilidades

• Lead architecture and design of enterprise data products on Databricks Lakehouse.
• Define standards, governance frameworks, and patterns for scalable data products.
• Collaborate with product owners, data engineers, and governance teams to ensure self-service analytics.
• Drive data contracts, access controls, and enterprise data governance across domains.

Conocimientos

Data architecture

Databricks

Data mesh

Governance

Stakeholder mgmt

Educación

Databricks Certified Data Engineer Professional

AWS Certified Solutions Architect

Certified Data Management Professional

Herramientas

Databricks

Delta Lake

Unity Catalog

dbt

Spark

AWS S3

Descripción del empleo

Cognizant Technology Solutions Corporation is seeking a Data Products Architect – Databricks to lead enterprise data product design on a Databricks Lakehouse platform. You will define standards, governance, and architectural patterns to enable trusted, reusable data consumption across multiple business domains.

You will collaborate with product owners, data engineers, governance teams, and stakeholders to implement self-service analytics while upholding stringent security and governance