Senior Director, Data Engineering

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. BA/BS in computer science, engineering, business, operations, or related fields preferred. Demonstrated experience leading highly technical engineering teams or serving as chief architect in a complex, hands-on technical environment. 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.

Act as executive-level technical leader for strategic clients, owning technology direction and stakeholder relationships. Build trusted relationships with technical and business stakeholders. Lead key client events and contribute content connecting strategic goals with technical execution. Develop and maintain client-specific technology strategy and roadmap, providing hands-on architectural guidance. Partner with the account team to drive growth. Write and guide scopes, proposals, and pricing estimates. Create and present clear deliverables for alignment. Help clients operationalize data and AI projects for measurable business impact. Act as the owner of technical success for the client, resolving escalations and maintaining delivery quality. Track and report KPIs demonstrating client success and business value. Meet minimum billable utilization requirements. Educate internal teams on successful delivery patterns and contribute to internal playbooks. Cultivate and manage relationships with key technology partners.