Why this role stands out
This impactful leadership role offers you the chance to define and execute the enterprise data strategy for a leading energy company, driving critical business decisions through innovative data solutions in a hybrid work environment. You will thrive here if you are a visionary data engineering leader passionate about cloud modernization, team mentorship, and building scalable data platforms that support a safety-first culture. Seize this opportunity to elevate your career by shaping the future of data at Global Partners LP.
Quick overview
Job description
Global Partners LP, a leading diversified energy company, seeks a Senior Director, Data Engineering to shape and execute our enterprise data strategy. Reporting into IT & Data Management, you will lead a team building scalable pipelines, warehouses, and platforms that power analytics, optimize fuel distribution, and support safe, reliable operations across our terminals and gas stations. You'll drive cloud data modernization, governance, and data quality, partnering with leaders across the business in a collaborative, safety- and integrity-focused culture.
Responsibilities
- Define and lead the enterprise data engineering strategy for Global Partners LP.
- Oversee design and operation of scalable data pipelines, warehouses, and lakehouses.
- Partner with IT, logistics, and business leaders to enable analytics and optimization of fuel distribution and terminal operations.
- Establish data governance, quality, and security standards aligned to safety and regulatory needs.
- Lead and mentor a high-performing data engineering team and manage vendor partners.
- Drive adoption of modern cloud data platforms and advanced planning tools.
- Collaborate with data scientists and analysts to deliver trusted, timely data products.
- Align data engineering roadmap with corporate strategy and innovation initiatives.
Required Skills
- Data engineering architecture
- Cloud data platforms (AWS/Azure/GCP)
- ETL/ELT pipeline design
- Data warehousing and lakehouse design
- SQL and distributed data processing (e.g., Spark)
- Data governance and data quality
- Real-time and batch data integration
- Team and portfolio leadership
- Stakeholder and executive communication
- Analytics and BI enablement
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