Director of Data Engineering

Role Description

The Director of Data Engineering leads the overall data engineering function, setting strategic priorities and ensuring alignment with broader organizational goals. This role establishes long-term operating strategies for enterprise data platforms, pipelines, tooling, governance, and migration to scalable data solutions. The Director oversees departmental budgeting, staffing, resource planning, and performance optimization while leading a high-performing data engineering team. This role partners across IT, Operations, Commercial, Finance, corporate functions, BI, Analytics, and Data Governance to create trusted, documented, and AI-ready data products.

Qualifications

• 12+ years of relevant experience, including management experience, with a Bachelor’s degree or equivalent
• Deep knowledge of data engineering practices, including ETL/ELT pipelines, extraction layers, data cleansing, enrichment, performance optimization, and platform scalability
• Strong understanding of modern data architecture, including landing zones, cloud-based data platforms, analytics layers, reporting layers, data warehouses, data lakes, and AI-ready data assets
• Demonstrated ability to partner with IT, Operations, Commercial, Finance, corporate teams, BI engineers, analysts, and data stewards to align priorities and resolve data-quality or metric-definition issues
• Familiarity with GCP/BigQuery, OneLook, Power BI, and core operational/source systems such as FasTrac, OTM, Oracle, Salesforce, Dayforce, EPC, INVDB, YMS, SLOF, and SLEF
• Proficiency in SQL and Python, with the ability to guide the development of scalable data pipelines, analytics layers, reporting-ready datasets, and self-service BI models
• Familiarity with modern data engineering and analytics engineering practices, including Git-based development, CI/CD, documentation standards, dbt or similar transformation frameworks, Databricks or equivalent data processing platforms, and governed data lifecycle management
• Ability to travel up to 25%

Requirements

• Set the strategy and operating model for enterprise data engineering, including pipelines, platforms, tooling, standards, and the long-term migration to scalable data solutions.
• Oversee the design, development, performance, reliability, and uptime of ETL/ELT pipelines that extract, cleanse, enrich, and prepare data from core systems and non-system sources.
• Lead the development of governed, documented, and AI-ready data assets that support trusted analytics, certified reporting, self-service BI, and business decision-making.
• Partner with IT, business leaders, BI teams, analysts, and data stewards to define requirements, align metric definitions, strengthen governance, and ensure data products have clear business context.
• Establish and enforce data engineering standards, documentation practices, quality controls, and lifecycle processes that reduce duplication, improve consistency, and protect enterprise data integrity.
• Manage departmental budgets, staffing plans, priorities, and resource allocation to support high-value data initiatives and the efficient use of specialized talent.
• Build, lead, and develop a high-performing data engineering team, overseeing hiring, coaching, performance management, corrective action, and talent development.

Benefits

• Medical, dental, and vision insurance
• Life and short- and long-term disability coverage
• 401(k) retirement savings plan with company match
• Flex vacation in states other than CA, CO, IL, MA, MT, and NE, with accruals up to 96 hours for first year of employment with tenure-based increases up to 160 hours
• Two (2) floating holidays per year
• Paid sick leave*
• Six (6) paid company holidays
• Two (2) weeks paid pregnancy disability leave, four (4) weeks paid parental bonding leave
• Additional wellness and employee assistance programs