Databricks Data Engineering Lead
Baker Hughes (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 12h 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 solutions on the Databricks platform within a newly established Data Mesh operating model.
- Coordinate technical delivery across Data Engineers, Architects, Governance teams, and external partners; translate business needs into technical solutions ensuring alignment with standards and governance.
- Ensure data pipeline reliability, monitor data quality, maintain documentation, and support continuous improvements and incident resolution in production environments.
Minimum Requirements
- Bachelor's degree in Computer Science or STEM disciplines.
- Minimum 3+ years total experience with at least 2+ years specifically on the Databricks platform.
- Proficiency with Python, PySpark, SQL, and AWS-based data platforms; familiarity with Git, CI/CD, Agile methodologies, Rally (Agile Central), and ServiceNow for production support.
- Work Experience Required: Minimum 3+ years (including 2+ years Databricks experience). Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in leading data engineering teams in a domain-oriented Data Mesh setup, with a strong focus on technical coordination and delivery management.
- Skilled at bridging business requirements and technical solutions, with practical knowledge of data governance, quality controls, and platform standards.
- Comfortable working with AI-assisted engineering tools and modern development practices to improve productivity and operational stability in an Agile environment.