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.

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