Director of Data Engineering
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Job Description
Director of Data Engineering leading scalable, governed data platforms for OnTrac’s same-day and next-day U.S. delivery services. Overseeing pipelines, AI-ready data products, budgets, and engineering teams.
Responsibilities:
- Lead the overall data engineering function and set strategic priorities aligned with organizational goals
- Establish long-term operating strategies for enterprise data platforms, pipelines, tooling, governance, and migration to scalable data solutions
- Oversee the design, development, performance, reliability, and uptime of ETL/ELT pipelines
- Lead development of governed, documented, and AI-ready data assets for analytics, certified reporting, self-service BI, and business decisions
- Partner with IT, business leaders, BI teams, analysts, and data stewards to define requirements, align metric definitions, and strengthen governance
- Establish and enforce engineering standards, documentation practices, quality controls, and data lifecycle processes
- Manage departmental budgets, staffing plans, priorities, and resource allocation
- Build, lead, and develop a high-performing data engineering team, including hiring, coaching, performance management, corrective action, and talent development
- Communicate technical and data concepts to senior leaders, business stakeholders, and technical teams
- Translate business requirements and segment strategy into governed data products and functional plans
Requirements:
- 12+ years of relevant experience, including management experience
- 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
- Familiarity with GCP/BigQuery, OneLook, Power BI, FasTrac, OTM, Oracle, Salesforce, Dayforce, EPC, INVDB, YMS, SLOF, and SLEF
- Proficiency in SQL and Python
- Familiarity with 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%
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
- Up to a 25% Bonus Target incentive compensation may be available
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