Skills/Experience:
- Domain Required: Insurance/Financial Services
- Experience: 8+ years in Data Engineering/Architecture, with at least 3+ years of hands-on leadership within the Databricks ecosystem.
- Core Tech: Expert-level knowledge of the Spark framework (PySpark/Scala), Delta Lake, and Databricks SQL.
- AI/ML Expertise: Proven experience building and deploying AI solutions.
- Deep understanding of the Agentic AI landscapeโmoving beyond simple chatbots to autonomous, goal-oriented agents.
- FinOps Mastery: Specific experience in Databricks cost management, instance selection, and performance tuning (Z-Ordering, Liquid Clustering).
- Data Management: Strong background in data modelling and the creation of reusable ETL/ELT templates and frameworks.
- Insurance Domain: Prior experience in the Insurance or FinServ sector is highly preferred; you must understand the nuances of policy-centric data.
