Position Summary:
We are seeking an experienced Senior Data Engineer to drive the performance, governance, and AI-native maturity of our enterprise Data Platform in Databricks. This is a Databricks-focused Data Engineering role with a working understanding of DevOps practices — designing scalable pipelines, tuning workloads for performance and cost, and operationalizing contemporary data and AI capabilities on Lakehouse.

The ideal candidate has deep, hands-on Databricks expertise, a strong performance-engineering instinct, and a builder's mindset for AI-assisted operations. You'll own the Databricks performance and governance standards for the platform, mentor engineers, and shape the direction for AI-native operations.

Key Responsibilities:
- Design and develop scalable data pipelines and Lakehouse solutions on Databricks.
- Tune Databricks workloads for performance and cost, including cluster sizing, query optimization, and Delta Lake table design.
- Establish and enforce best practices for partitioning, clustering, and workload isolation.
- Track performance trends,



identify high-cost queries, and partner with source teams and end users to resolve long-running loads.
- Design and operationalize Unity Catalog for data governance — access control, lineage, and security.
- Build monitoring and self-healing automation using Databricks-native AI and agentic capabilities.
- Drive CI/CD workflows for Databricks assets, setting DevOps best practices for deployment and release management.
- Lead design reviews and mentor Data Engineers on Databricks best practices and AI-native features.
- Own Databricks vendor coordination — case management, escalations, and release adoption strategy.

What Success Looks Like (First 6–12 Months)
- Within 6–12 months, you'll define the platform's tuning and governance standards, lead design reviews, mentor junior engineers, and shape the AI-native operations roadmap.

Required Qualifications:
- Bachelor's or Master's degree in Computer Scienc

📌 Lead Data Engineer (Bengaluru)
🏢 NXP Semiconductors
📍 Bengaluru