About this role
Director, Enterprise Data Engineering & Analytics at Marsh McLennan. Location: New York City, New York, United States. Role: defining strategy, leading teams, delivering platforms Requirements: 10+ years building large-scale data platforms, 5+ years leading engineering teams; hands-on Databricks and AWS experience; strong Python, SQL, Spark, data modeling, ETL/ELT, CI/CD, observability, governance, and AI-ready architecture skills. Category: Data and Analytics Seniority: Senior Level Tools: Databricks, AWS, Python, SQL, Spark, Kafka, Pub/Sub, Kinesis, Azure, GCP Certifications: databricks, aws solutions architect/specialty Commitment: Full Time Workplace: Hybrid Languages: English