Director of Technology, Enterprise Data Engineering

📋 Description

• Lead, coach, and develop data engineering professionals, managing performance, staffing, workload
• Lead the migration of legacy data lakes and curated data stores to Databricks, coordinating
• Partner with Enterprise Architecture to translate strategic direction into production-ready data
• Own data ingestion and medallion architecture standards across bronze, silver, and gold layers
• Develop and maintain the semantic data layer, Unity Catalog objects, and curated datasets in
• Establish reusable pipeline templates, scaffolding, reference architectures, and automated tooling

🎯 Requirements

• At least 10 years of experience in data engineering or related field, including at least three
• Bachelor's degree in Computer Science, Information Systems, or equivalent professional experience.
• Demonstrated experience leading legacy-to-cloud data platform migrations, managing enterprise data
• Strong hands-on knowledge of Databricks, including Unity Catalog, Delta Lake, medallion
• Advanced SQL and PySpark skills; strong understanding of dimensional modeling, semantic layers
• Experience building certified datasets and semantic models for self-service analytics or

🎁 Benefits

• Competitive salary range of $120,000–$186,000 per year.
• Comprehensive benefits package (details available through employer).
• Remote flexibility within the United States.
• Career development opportunities leading major data modernization initiative.
• Leadership opportunities to build and develop a data engineering team.
• Innovation and impact with modern data technologies and AI capabilities.