Hiring: Director, Data Warehouse Engineering Company: Mercury Insurance Location: Brea, CA Job Posted Time: 2026-09-10 12:10:41 Target Skills & Keywords : AWS, Airflow, Azure, BigQuery, CI/CD, Dagster, Data Pipeline, Data Warehouse, Databricks, GCP, Git, Informatica, Python, Redshift, SQL, SaaS, Snowflake, dbt About the job Experience: •15+ years of experience in data engineering, data warehousing, or related disciplines, with significant experience leading high-performing engineering teams and managers. •10+ years of strong people leadership experience, including coaching leaders, building teams, setting expectations, and creating accountability. •Proven success leading enterprise-scale data warehouse or lakehouse platforms in complex business environments. Required Skills: •Mercury Insurance is looking for a Director, Data Warehouse Engineering to lead the strategy, architecture, and delivery of our enterprise data warehouse platform. This leader will own the direction of the data warehouse engineering function and help modernize the way data is built, governed, and delivered across the company. •Define and lead the vision, roadmap, and operating model for data warehouse engineering in support of Mercury’s enterprise data strategy. •Lead multiple teams or a broader engineering function responsible for enterprise data warehouse development, data marts, core data models, and scalable data pipelines. •Drive modernization of the data platform, including data modeling standards, orchestration patterns, testing frameworks, observability, and automation to optimize efficiency. •Establish engineering standards for reliability, performance, scalability, data quality, and maintainability across the warehouse and pipeline ecosystem. •Cross-collaborate with engineering/technology and data sciences teams to establish SLAs, data contracts, and data quality standards. •Oversee the design and implementation of end-to-end data processing solutions that support enterprise reporting, business operations, data science, and AI use cases. •Partner with senior leaders across Engineering, Data Science, Architecture, and business teams to align investments, priorities, and delivery plans. Qualifications: •Bachelor's degree in Data Science, Data Engineering, Computer Science, Mathematics, Statistics, Engineering, Information Systems, Business Administration, or related technical field •Master’s degree preferred or equivalent combination of education and/or experience Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!