Director of Data Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Direct the entire data engineering function and establish strategic priorities that align with the goals of the organization.

• Develop long-term operational strategies for enterprise data platforms, pipelines, tools, governance, and the transition to scalable data solutions.

• Supervise the design, development, performance, reliability, and availability of ETL/ELT pipelines.

• Spearhead the creation of governed, documented, and AI-ready data assets for analytics, certified reporting, self-service BI, and informed business decisions.

• Collaborate with IT, business leaders, BI teams, analysts, and data stewards to outline requirements, align metric definitions, and enhance governance.

• Set and uphold engineering standards, documentation practices, quality controls, and data lifecycle processes.

• Oversee departmental budgets, staffing plans, priorities, and resource distribution.

• Build, lead, and nurture a high-performing data engineering team, which includes hiring, coaching, performance management, corrective actions, and talent development.

• Convey technical and data concepts to senior leaders, business stakeholders, and technical teams effectively.

• Convert business requirements and segment strategy into governed data products and actionable plans.

⛳️ Requirements

• Over 12 years of relevant experience, including managerial responsibilities.

• Bachelor’s degree or equivalent qualification.

• Extensive knowledge of data engineering practices, such as ETL/ELT pipelines, extraction layers, data cleansing, enrichment, performance optimization, and platform scalability.

• Strong grasp of modern data architecture, including landing zones, cloud-based data platforms, analytics layers, reporting layers, data warehouses, data lakes, and AI-ready data assets.

• Proven ability to collaborate 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.

• Proficient in SQL and Python.

• Knowledge of Git-based development, CI/CD, documentation standards, dbt or similar transformation frameworks, Databricks or comparable data processing platforms, and governed data lifecycle management.

• Willingness to travel up to 25% as needed.

🏝️ Benefits

• Medical, dental, and vision insurance coverage.

• Life insurance and short- and long-term disability coverage.

• 401(k) retirement savings plan with company matching contributions.

• Flexible vacation policy in states excluding CA, CO, IL, MA, MT, and NE, with up to 96 hours accrued in the first year of employment, increasing to 160 hours based on tenure.

• Two (2) floating holidays each year.

• Paid sick leave.

• Six (6) paid company holidays annually.

• Two (2) weeks of paid leave for pregnancy disability.

• Four (4) weeks of paid parental bonding leave.

• Additional wellness and employee assistance programs available.

• Potential eligibility for up to a 25% Bonus Target incentive compensation.