Senior Director - Data Engineering

Posted 5 months agoViewed
100000 - 120000 USD per year
United States, Latin America, IndiaFull-TimeData Engineering
Location:United States, Latin America, India, EST, PST
Languages:English
Seniority level:Director, Demonstrated experience leading highly technical engineering teams or serving as the chief architect
Experience:Demonstrated experience leading highly technical engineering teams or serving as the chief architect
Skills:
AWSLeadershipProject ManagementPythonSQLArtificial IntelligenceCloud ComputingETLGCPMachine LearningSnowflakeSoftware ArchitectureAzureData engineeringData scienceCI/CDDevOpsProblem SolvingMentoringStakeholder managementData modeling
Requirements:
Demonstrated experience leading highly technical engineering teams or serving as the chief architect in a complex, hands-on technical environment. Ability to sit across from a Fortune 500 CTO, ask door-opening questions, and confidently recommend a roadmap. Client-obsessed, understanding history, business context, and organizational structure. Belief that greatness comes from dedicated work, not just 9 to 5. Values giving and receiving feedback for excellence and meaningful relationships. Builder mentality, wanting a voice in building something great. Thrives on and grows through change. Desire to work alongside bright minds in data and AI. BA/BS in computer science, engineering, business, operations, or related fields preferred. Travel up to 35% (client-dependent).
Responsibilities:
Act as the executive-level technical leader for strategic clients, operating like the account's CTO: owning technology direction, technical stakeholder relationships, and strategic alignment. Build trusted relationships with technical and business stakeholders. Lead key client events (e.g., QBRs, Innovation Days, workshops) and contribute content. Develop and maintain a technology strategy and roadmap tailored to the client’s goals, providing hands-on architectural guidance. Partner closely with the account team to drive growth. Write and guide scopes, proposals, and pricing estimates. Create and present clear deliverables (e.g. architecture diagrams, enablement docs, POVs). Help the client operationalize data and AI projects—ensuring ideas move from prototype to production with measurable business impact. Act as the ultimate owner of technical success for the client. Resolve technical and strategic escalations across delivery. Hold delivery quality to a high standard, onboard new team members effectively, and continuously identify areas for improvement. Track and report KPIs that demonstrate client success and business value. Educate internal teams on successful delivery patterns and contribute to phData’s internal playbooks. Cultivate and manage relationships with key technology partners.
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