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Senior Director, Data Engineering

phData

Salary not specified
Sep 19, 2025
Remote, US
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phData is looking for a Senior Director, Data Engineering to act as a CTO-like advisor for their strategic customers, leading technical strategy, driving delivery excellence, and growing long-term partnerships and revenue by solving complex data challenges.

Requirements

  • 10+ years of hands-on experience delivering complex data or AI/ML platforms in production environments
  • Deep technical expertise in cloud platforms (Snowflake, AWS, Azure, GCP), modern data stacks, and MLOps tools
  • Strong architectural and implementation skills in Python, SQL, dbt, and modern infrastructure tooling
  • Proficiency in partner ecosystem collaboration (especially Snowflake, AWS, dbt)
  • Hands-on experience with containerization (Docker, Kubernetes) and cloud-native AI/ML tools
  • Experience leading delivery within a scaled services or consulting firm
  • Proven success growing enterprise accounts and building executive-level relationships

Responsibilities

  • Serve as the executive-level technical leader and primary advisor for strategic customer accounts
  • Act as a CTO for your accounts, guiding technology decisions, roadmaps, architecture, and platform maturity
  • Build deep relationships with technical and business stakeholders, driving consensus on solutions
  • Lead Quarterly Business Reviews (QBRs), Innovation Days, roadmap presentations, and architectural vision sessions
  • Deliver clear recommendations, success criteria, and measurement frameworks for each engagement
  • Step into complex or ambiguous problem spaces and provide clarity, direction, and momentum
  • Ensure delivery quality through mentorship, leadership, and hands-on involvement as needed

Other

  • 3+ years in a consulting leadership role with direct client ownership and revenue accountability
  • Excellent communication and negotiation skills with a strong sense of presence and clarity under pressure
  • Willingness to travel for customer meetings, QBRs, and key events when necessary
  • Advanced degree in a technical, data, or business-related discipline
  • Demonstrated thought leadership (e.g., blogs, speaking, open source) is a plus