Databricks Data Engineering Lead
Baker Hughes (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and operational oversight of Quality Data Products and analytics on the Databricks platform within the Quality domain.
- Implement Data Mesh operating model facilitating domain-owned Data Products, establishing engineering standards, governance, and coordination across engineering and governance teams.
- Monitor data pipeline reliability, support incident resolution, and drive continuous improvements in data quality, performance, and operational stability.
Minimum Requirements
- Bachelor's Degree in Computer Science or STEM discipline.
- Minimum 3 years overall work experience; 2+ years of Databricks experience explicitly required.
- Proficient in Python, PySpark, SQL, and AWS-based data platforms; familiarity with Git, CI/CD pipelines, ServiceNow, and Agile delivery methods required.
- Experience with backlog management tools like Rally and production environment support required.
Ideal Candidate Profile
- Experienced in leading technical coordination and delivery across multi-disciplinary teams in data engineering and governance contexts.
- Strong capability to translate business requirements into technical solutions and maintain alignment with architecture and governance standards.
- Demonstrates expertise in implementing data quality controls, metadata management, and operational stability in a complex, AI-augmented engineering environment.