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Databricks Technical Lead Commercial & Specialty Insurance

Years of Experience: 5-7 years

Job Summary: We are seeking an experienced Databricks Technical Lead to lead the design, architecture, and delivery of enterprise-scale data platforms supporting Commercial Property & Casualty and Specialty Insurance operations. The ideal candidate will combine deep expertise in Databricks, Spark, Cloud Data Platforms, and Modern Lakehouse Architecture with strong business knowledge across key insurance functions including Underwriting, Policy Administration, Claims, Reinsurance, Actuarial, Risk Management, and Regulatory Reporting.

Responsibilities:

- Technical Leadership




- Data Engineering & Lakehouse Development
- Cloud & Platform Architecture
- Stakeholder Engagement

Mandatory Skills:

- Databricks
- Apache Spark / PySpark
- Delta Lake
- Python
- SQL
- Data Warehousing
- Data Modeling
- Data Governance
- Experience with Azure, AWS, or Microsoft Fabric ecosystems
- Strong understanding of modern Lakehouse architecture patterns

Preferred Skills:

- Databricks Skilled Certification
- Experience with Unity Catalog and enterprise data governance
- Experience supporting AI/ML, GenAI, or predictive analytics initiatives
- Exposure to catastrophe modeling, actuarial analytics, or risk management reporting
- Experience leading global delivery teams

📌 Databricks Engineer (Pune)
🏢 Coforge
📍 Pune