[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Irvine, CA # Senior Data Platform / Data Product Engineering Lead Irvine, CA Manager or lead $100,000-$120,000 Data & Analytics Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/jobs/420108J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Senior Data Platform / Data Product Engineering Lead ## Job description Senior Data Platform / Data Product Engineering Lead Must Have Technical/Functional Skills Job Description: Senior Data Platform / Data Product Engineering Lead ### Role Overview We are looking for a Senior Data Platform / Data Product Engineering Lead to drive enterprise-scale data product lifecycle enablement across modern data platforms. This role will lead the design, standardization, and adoption of a paved path for data creators, enabling self-service, governed, and scalable data product development. The role requires deep expertise in Databricks, Airflow (Astronomer), CI/CD automation, data governance, and data marketplace constructs, along with the ability to lead platform transformation initiatives and mentor engineering teams. ________________________________________ Required ### Skills & Experience - 10+ years of experience in Data Engineering / Data Platform roles - Strong hands-on expertise in: - Databricks (Delta Lake, workflows, DAG) - Apache Airflow / Astronomer - Python, SQL, DBT,AWS - Proven experience implementing CI/CD frameworks (Harness, GitHub Actions, Azure DevOps) - Deep understanding of: - Data governance (catalogs, lineage, contracts, metadata) - Data quality and masking techniques - Enterprise data platforms and marketplace ecosystems - Experience with API-based integrations (e.g., entitlement systems like AccessCentral) - Monitoring/observability tools (e.g., Datadog) ### Job Description Senior Data Platform / Data Product Engineering Lead ### Role Overview The role requires deep expertise in Databricks, Airflow (Astronomer), CI/CD automation, data governance, and data marketplace constructs, along with the ability to lead platform transformation initiatives and mentor engineering teams. ________________________________________ Core Responsibilities - Platform Strategy & Self-Service Enablement - Define and implement a self-service data platform strategy to reduce onboarding friction. - Lead automated provisioning of: - Databricks workspaces (via DevHub) - Airflow/Astronomer environments - Access and entitlements (AccessCentral APIs) - Establish isolated, stable development environments for federated teams. - Drive platform observability by integrating metrics into tools lik e Datadog. ________________________________________ - Data Discovery, Access & Governance - Architect and implement enterprise-wide data discovery and marketplace enablement. - Drive adoption of: - Data contracts - Metadata standards - Domain-aligned catalogs (Unity Catalog) - Enable secure access to curated, masked datasets in dev and production environments. - Implement tagging, access patterns, and entitlement automation. - Partner with risk/compliance teams to enforce regulatory and governance controls (BFSI-aligned). ________________________________________ - Data Engineering, Curation & Orchestration - Lead design of scalable data ingestion, curation, and transformation frameworks. ### Build and standardize modular, reusable frameworks - LaunchLake templates - Airflow DAG libraries o DBT-based transformation models ### Ensure - Data quality and consistency - Embedded governance and compliance policies - Enable concurrent development using standardized patterns and environments. ________________________________________ - CI/CD, Automation & Deployment - Define and enforce standard CI/CD pipelines across data products: - Harness (or equivalent) - Databricks Asset Bundles (DAB) ### Automate - o DAG deployments (Airflow/Astronomer) o DBT pipeline releases - Reduce manual interventions and ensure consistent, repeatable deployments. - Improve release reliability with feedback loops, notifications, and monitoring. ________________________________________ - Data Product Publishing & Marketplace Enablement - Drive publishing of data products to: - Unity Catalog - Enterprise Data Marketplace ### Define and enforce - Documentation standards - Data ownership models - Versioning and contract management - Enable cross-domain data sharing with embedded governance and access controls. ________________________________________ - Operations, Observability & Reliability - Establish a scalable operating model for data product support. ### Implement - Monitoring dashboards (Datadog) - Data quality frameworks - Usage and performance metrics tracking ### Improve visibility into - Pipeline health - Data lineage - Access and consumption patterns - Lead incident management, root cause analysis, and escalation processes. ________________________________________ - Transformation, Roadmap & Innovation - Drive execution of platform priorities such as: - Data contract activation strategy - Domain catalog integration - Data masking in development environments - Data quality frameworks o DBT adoption and POCs ### Lead maturity uplift from - Manual, fragmented workflows → standardized, automated paved paths - Champion continuous improvement and innovation in developer experience. ________________________________________ Salary Range- $100,000-$120,000 a year