Pilot Thomas Logistics · 3 hours ago
Manager, Data Engineering
Grapevine, TX
Full-time
Onsite
Senior Level, Lead/Staff
8+ years expPilot Thomas Logistics is seeking a strategic, hands-on Manager, Data Engineering to own and evolve their enterprise data platform and analytics ecosystem. This role involves defining the data engineering roadmap, leading a cross-functional team, and delivering robust data capabilities that enable self-service analytics and operational reporting.
ChemicalFuelLogistics
Responsibilities
Lead, mentor, and develop a small team of data professionals (Data Engineer, Junior DBA, BI developers), establishing clear goals, career development plans, and engineering best practices
Define the short- and long-term data engineering roadmap aligned to business priorities and CIO strategy
Own the enterprise data architecture across on-prem and cloud environments (Microsoft SQL Server, AWS/Azure/GCP), ensuring reliability, scalability, and security
Design and oversee implementation of a modern data platform (data lake / lakehouse / data warehouse patterns as appropriate) and data modeling standards to support analytics, data automation/integration and AI initiatives
Maintain architecture documentation and ensure the environment evolves with business needs
Ensure key data required to support sales, supply, and operations is procured, maintained, and managed to provide the business with necessary functional information in a timely manner
Support team as they architect, build, and operationalize scalable ETL/ELT pipelines using Python, off-the-shelf ETL tools, and other orchestration tools
Set standards for CI/CD, automated testing, monitoring, and alerting for data pipelines and database deployment
Establish and enforce backup, archiving, retention, and disaster recovery strategies for databases and datasets
Optimize databases and queries for reliability, performance, and cost efficiency — including indexing, partitioning, and tuning strategies
Implement and govern data quality, metadata management, lineage, and cataloging practices
Define and enforce data access controls, encryption, and security policies to meet compliance and internal requirements
Create SLAs and runbooks for incident response and data platform support
Lead AI forward problem solving methodologies to standardize data, accelerate change, and collaborate across business units
Collaborate closely with Software Development, Program Management, and business stakeholders to integrate new applications and third-party data sources
Provide thought leadership and suggest solutions as teams are moving toward future state operations. Promote unified data sets, intelligence layers, and enterprise readiness, and other nimble and creative adaptive solutions
Lead POCs and production rollouts of AI-driven automation and integrations (ML/AI pipelines, process automation), align solutions with future-state architecture and process transformation
Create and protect PTL Data Assets that can be used to drive value. Participate in governance, compliance, monitoring, and security initiatives to protect data assets and promote customer satisfaction
Create an environment where PTL Human Assets can be creative, make good decisions, and move fluidly as fuel markets and strategies evolve
Evaluate, onboard, and manage third-party data tools and cloud services
Monitor and manage cloud and platform costs; recommend optimizations and capacity planning
Special projects as requested
Perform other duties as assigned
Qualification
Required
Industry experience in downstream fuel logistics or comparable industry knowledge
Deep expertise in SQL and relational database design and performance tuning (Microsoft SQL Server required)
Strong Python development skills and proven experience building ETL/ELT pipelines
Experience with orchestration tools (e.g., Apache Airflow) and CI/CD for data workflows
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and a working knowledge of hybrid cloud/on-prem environments
Demonstrated ability to lead technical teams, mentor engineers, and manage cross-functional initiatives
Excellent communication skills and experience translating complex technical ideas to non-technical stakeholders
Preferred
8+ years of professional experience in data engineering, data architecture, or related roles, with at least 3 years in a leadership or technical lead capacity, highly preferred
Familiarity with AI/ML technologies, MLOps, and integrating AI into automation and data pipelines
Exposure to containerization (Docker), orchestration (Kubernetes), infrastructure as code (Terraform), and DevOps practices
Cloud or data engineering certifications (AWS/Azure/GCP/Data Engineering) a plus
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
Company
Pilot Thomas Logistics
With more than 71 years of experience in the industry, Pilot Thomas Logistics is the premier provider of fuel, lubricants and chemicals to the Energy, Marine, Mining and Industrial markets.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
J
Jeffrey Lang
Chief Operating Officer of Pilot Thomas Logsistics DFW HQs
Company data provided by crunchbase