Senior Databricks Engineer

We are looking for 7-10 years of technically strong Senior Field Data Engineers (FDEs) with deep expertise in Databricks, Apache Spark, cloud data platforms and large-scale data migration.

The FDE will work closely with customers and technical stakeholders to understand data challenges, design solutions, execute migrations, build production-grade data integrations, troubleshoot complex technical issues and support successful implementation of Databricks-based solutions.

Experience- 7-10 Years

Location- Remote

Key Skills & Experience Expected

Databricks is looking for technically strong Senior FDEs with experience in:

• Databricks and relevant certifications
• Strong cloud expertise
• Strong Apache Spark fundamentals and hands-on experience
• At least 4–5 Spark/data migration projects
• Spark-based migration experience
• Data integration, particularly production-grade integration
• Data architecture
• MLOps
• Genie and ML understanding
• GenAI capabilities, including RAG
• Strong troubleshooting and production implementation skills

Proposed Enablement & Assessment Process

The expected process discussed with Databricks is:

1. 4-week technical enablement program to build and strengthen the required capabilities.
2. Focused preparation across Spark, migration, architecture, data integration, and GenAI/RAG.
3. Technical assessment with a strong focus on Apache Spark and migration experience.
4. Additional skill-based assessments based on the role requirements.
5. Technical discussion/interview covering:

• Advanced Spark
• Migration experience
• Data architecture
• Production-grade integration
• GenAI and RAG