Director of Data Engineering - QuantumBlack, AI by McKinsey
MCKINSEY & COMPANY, INC. UNITED STATES
Cleveland, OHJobSeen todaySeen in employer's feed today
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Job overview
The Director of Data Engineering will lead large engineering teams and architect enterprise-scale, production-ready full-stack platforms spanning front-end applications, back-end services and APIs, and data and AI infrastructure. The role includes setting technical roadmaps, aligning delivery with client outcomes, developing engineering managers and senior engineers, and owning senior client relationships. It calls for expertise in distributed computing, cloud platforms, containerization, and modern full-stack frameworks, as well as willingness to travel.
Skills & qualifications
Skills
Qualifications
Full job description
- Atlanta - Boston - Charlotte - Chicago - Cleveland - Columbus - Connecticut - Darien - Dallas - Detroit - Houston - Miami Apply Now Apply Later YOUR QUALIFICATIONS AND SKILLS - Degree in Computer Science, Engineering, Mathematics, or equivalent experience. - 12+ years of relevant professional experience, including experience managing large engineering teams (multiple pods/squads, 20+ engineers) as a people leader - not only as a technical lead - Proven experience architecting and building full-stack platforms - front-end (e.g., React, Angular, TypeScript), back-end services and APIs, and data/AI infrastructure - for enterprise-scale, production use cases - Ability to scope multi-workstream programs, define technical roadmaps, and align engineering delivery to client business outcomes - Track record of directly managing and developing engineering managers and senior engineers, including performance management, hiring, and career development at scale - Expertise in distributed computing frameworks (e.g., Spark, Dask), cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and modern full-stack frameworks - Extensive senior client-facing experience - able to independently own and grow C-level and senior-executive client relationships, not just execute against a scope defined by others - Ability to write clean, maintainable, scalable, and robust code across the stack (front-end and back-end), and to set engineering standards and review practices for large teams - Exceptional time management and program leadership skills in a complex, largely autonomous, multi-team environment - Willingness to travel - Strong communication skills, both verbal and written, with the ability to represent engineering strategy to both technical and executive audiences Apply Now Apply Later Share This Job Equal Opportunity Employment Disclaimer McKinsey & Company is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other protected characteristics.
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