Senior Director, Data Engineering

Global Partners

Base: $182,300.00 - $291,500.00; bonus/equity: not...
Not specified (potentially hybrid or flexible)
Snowflake and dbt expertise
Dagster or airflow orchestration
Federated data organization leadership
Global Partners is seeking a Senior Director of Data Engineering to lead the development and optimization of their enterprise data platform, focusing on advanced data architecture and AI capabilities. The role emphasizes strategic leadership, innovation in data practices, and cross-functional collaboration to enhance data-driven decision-making across the organization

Job Summary

  • This role drives the design of modern, AI-native data infrastructure powering analytics and operations across the energy value chain.
  • The successful candidate will champion agentic development as the default workflow using tools like Claude Code, Cursor, and MCP-based integrations.
  • Global Partners offers competitive salaries, comprehensive health benefits, 401k matching, and tuition reimbursement after six months of service.

Matching Summary

Match Score: 85

Global Partners is seeking a Senior Director of Data Engineering to lead the development and optimization of their enterprise data platform, focusing on advanced data architecture and AI capabilities. The role emphasizes strategic leadership, innovation in data practices, and cross-functional collaboration to enhance data-driven decision-making across the organization.

Salary

Base: $182,300.00 - $291,500.00; Bonus/Equity: Not specified; Benefits: Medical, Dental, Visions, Life Insurance, 401k match, Tuition Reimbursement

Skills & Requirements

Must-have

  • Snowflake and dbt expertise
  • Dagster or Airflow orchestration
  • Federated data organization leadership
  • AI-assisted engineering practices
  • Cloud FinOps management
  • Streaming and real-time architectures

Nice-to-have

  • MCP-based tooling integration
  • Vector store and RAG infrastructure
  • Agentic development culture
  • Natural language warehouse interfaces
  • Model observability implementation

Key Requirements

  • 12+ years in Data Engineering or Platform leadership
  • Minimum 7 years in senior management roles
  • Bachelor's or Master's degree in quantitative field
  • Experience managing managers in dynamic environments

Work Rights

Not specified

Tailored Resume

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