Databricks POD Lead

Roles & Responsibilities: Define and drive enterprise Lakehouse, data integration, and information architecture. Establish and implement data models, governance frameworks, security standards, data lineage, metadata management, and access patterns. Ensure alignment across data ingestion, processing, serving, BI, and AI/ML capabilities. Lead architecture reviews, technical discussions, and stakeholder decision-making. Ensure solutions adhere to enterprise architecture, governance, and security standards. Coordinate effectively with onsite-offshore and distributed teams. Conduct root cause analysis (RCA), identify technical issues, and implement effective solutions. Required Technical / Functional Skills Strong experience in enterprise data architecture and Databricks Lakehouse architecture on AWS. Expertise in data modeling, data integration, data governance, data security, and metadata management. Hands-on experience with Delta Lake, PySpark, SQL, and Unity Catalog. Strong understanding of data engineering, analytics, and modern data architecture patterns. Experience in enterprise architecture governance and standards. Life & Annuity insurance domain experience is preferred. Leadership & Managerial Skills Strong customer-facing communication and stakeholder management skills. Ability to provide concise executive-level updates and delivery reports. Experience coordinating onsite-offshore teams and managing distributed delivery. Strong ownership, prioritization, risk management, and escalation capabilities. Excellent collaboration, analytical, and problem-solving skills. Ability to work independently while adhering to enterprise governance, architecture, and security standards.