Director - Data Engineering
RemoteUnited States or India
Job Summary
Serve as the executive-level technical leader and primary advisor for strategic customer accounts, guiding technology decisions, roadmaps, and architecture while building deep relationships with technical and business stakeholders. Lead Quarterly Business Reviews, innovation days, and architectural vision sessions to deliver clear recommendations and success criteria, stepping into complex problem spaces to provide clarity and momentum. Collaborate closely with Account Executives to create growth strategies, identify new opportunities, and lead scoping, pricing, and proposal development to drive account expansion. Own delivery success across assigned projects, ensuring quality through mentorship and hands-on involvement, while providing architectural oversight and escalation management. Mentor technical consultants and engineers to elevate delivery maturity, contribute to internal practice lead strategy discussions, and align the broader account team through key leadership syncs.
Required Qualifications
- 10+ years of hands-on experience delivering complex data or AI/ML platforms in production environments
- 3+ years in a consulting leadership role with direct client ownership and revenue accountability
- Deep technical expertise in cloud platforms (Snowflake, AWS, Azure, GCP), modern data stacks, and MLOps tools
- Proven success growing enterprise accounts and building executive-level relationships
- Strong architectural and implementation skills in Python, SQL, dbt, and modern infrastructure tooling
- 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
Desired Qualifications
- Advanced degree in a technical, data, or business-related discipline
- Experience leading delivery within a scaled services or consulting firm
- Proficiency in partner ecosystem collaboration (especially Snowflake, AWS, dbt)
- Hands-on experience with containerization (Docker, Kubernetes) and cloud-native AI/ML tools
- Demonstrated thought leadership (e.g., blogs, speaking, open source) is a plus
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