Jobs → Data & Analytics → Data Architect

About the Role We are looking for a Data Architect to join our team. This role focuses on defining data architecture and ETL flows for metrics and reporting, with a strong emphasis on Databricks and healthcare domain expertise. Key Responsibilities • Define data architecture and ETL flows for metrics and reporting • Bring the best practices on Databricks and latest features including AI/BI, Genie etc and implement within the customer platform • Define the data model and Semantic model for sourcing data from multiple source systems • Define Data Governance models and frameworks and tools • Enable the Data Quality frameworks and data observability across the platforms • Build the Databricks ETL pipelines source to target for metrics reporting • Build and maintain pipelines and analytical datasets using enterprise standards and CI/CD practices • Engineer reusable features and analytical datasets that eliminate one-off extracts • Build automated and reusable Ingestion and Data Quality frameworks • Implement automated quality checks for completeness, freshness, referential integrity, and data drift • Serve as the technical bridge between analytics pods and enterprise data engineering teams • Contribute to modeling, statistical validation, experimentation, and hypothesis testing activities • Optimize semantic layers and data models for high-performance dashboards and analytics • Document lineage, transformation logic, refresh schedules, and operational dependencies Requirements • 18+ years of Data Engineering experience with demonstrable Data Science capability • Experience in Data architecture and enterprise architecture • Strong Data Modeling experience preferred • Strong expertise in AI led development – Databricks Genie, Claude, Cursor AI etc • Experience in MDM platforms and Master data management • Strong Data Governance, Lineage and catalog experience – preferably Atlan • Expert skills in Databricks – Need strong experience of atleast 7 + years • Strong Skills in AI tools and accelerators • Experience preferred on Tableau and data visualization tools • Working knowledge on lifescience, medical devices domain preferable • Experience in Data and ETL accelerators development • Expert SQL and Python skills • Production experience with modern cloud data platforms and orchestration solutions • Hands-on experience with dbt or equivalent transformation tooling • Strong knowledge of ETL/ELT, data modeling, analytics engineering, and statistical methods • Excellent Communication skills and team leadership experience • Should have managed agile scrums and projects for dashboarding and reporting • Team Leadership and executive communication skills are a must