[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 # Lead Data Engineer - MSS Irvine, CA Manager or lead $110,000-$140,000 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/424364J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Lead Data Engineer - MSS ## Job description Lead Data Engineer - MSS Must Have Technical/Functional Skills Data Bricks, EBT,Airflow, Asset Management exp Roles & Responsibilities Lead Data Engineer – MSS Experience 8–15 Years ________________________________________ Role Overview We are looking for a highly skilled Lead Data Engineer with strong hands-on experience in Databricks, dbt, and Python, and a proven track record of leading and executing data platform migration and modernization programs. The ideal candidate will have experience migrating legacy data warehouses, ETL platforms, and cloud/on-prem data ecosystems to a modern Databricks Lakehouse architecture using dbt-based transformation frameworks. This is a hands-on leadership role requiring deep technical expertise, solution design capabilities, and the ability to mentor engineering teams while driving enterprise-scale data modernization initiatives. ### Key Responsibilities Data Engineering & Development - Design, build, and maintain scalable data pipelines using Databricks, PySpark, SQL, and Python. - Develop and optimize ELT/ETL processes for large-scale data ingestion and transformation. - Implement robust data quality, monitoring, and reconciliation frameworks. - Build reusable data engineering components and frameworks. ### Data Platform Migration & Modernization - Lead migration of legacy data platforms, data warehouses, and ETL ecosystems to Databricks Lakehouse. - Transform existing ETL workloads to modern ELT patterns using dbt. - Analyze source environments and define migration approaches, roadmap, and execution strategy. - Drive code conversion, performance optimization, and workload modernization efforts. ### Databricks Engineering Develop solutions leveraging - Databricks Lakehouse Platform - Delta Lake - Unity Catalog - Databricks Workflows - Structured Streaming - Medallion Architecture (Bronze, Silver, Gold) Optimize Spark jobs and Databricks workloads for performance and cost efficiency. dbt Development - Build and maintain dbt models, macros, tests, and documentation. - Implement incremental processing and reusable transformation frameworks. - Establish data lineage, testing, and CI/CD best practices. - Work closely with business and analytics teams to build trusted datasets. ### Leadership & Collaboration - Lead a team of data engineers and developers. - Perform code reviews and enforce engineering standards. - Collaborate with archit ects, product owners, business analysts, and stakeholders. - Mentor junior engineers and drive adoption of best practices. Salary Range- $110,000-$140,000 a year