Manager of Data Engineering

KellyMitchell Group is seeking a Manager of Data Engineering to join their team. This role involves leading a team of data architects, evolving enterprise data architecture, and ensuring alignment with governance and data quality standards.

Responsibilities:

• Recruits, mentors, and develops a team of data architects with varied levels of expertise
• Cultivates an inclusive, collaborative culture that values curiosity, consistency, and scalable design
• Aligns team responsibilities and expertise with enterprise priorities
• Clears roadblocks and supports career development
• Leads the evolution of enterprise data architecture, including integration standards, medallion architecture, service and API design, and platform interoperability
• Partners with Data Engineering, Governance, Product, and Infrastructure teams to ensure architecture supports both immediate use cases and long-term scalability
• Owns and evolves architecture patterns and models that support both operational and analytic workloads
• Provides architectural guidance on key data initiatives, ensuring solutions are scalable, performant, secure, and compliant
• Guides the use of data modeling, metadata standards, and lineage tools
• Evaluates new technologies and supports architecture decisions for platform investments
• Champions architecture alignment with governance, data quality, and privacy standards
• Ensures architecture supports regulatory compliance, data stewardship, and clear lineage
• Collaborates with Data Governance to define ownership boundaries and metadata expectations
• Partners with Data Engineering and Product to ensure architecture enables timely delivery and iteration
• Works with Product, Analytics, AI/ML, Security, and Infrastructure to ensure alignment on solution patterns
• Supports project estimation, technical planning, and platform scalability conversations across teams
• Supports architectural documentation, review cycles, and governance boards
• Tracks adoption of architectural patterns and frameworks across teams
• Assesses technical risks and alignment to strategic objectives

Requirements:

• Bachelor's degree or a combination of relevant experience and training; relevant experience may be considered in lieu of a degree
• 10+ years of relevant experience preferred
• Prior management of teams
• Strong understanding of modern data architecture such as: medallion, event-driven or API-first
• Experience with data modeling, lineage, metadata management, and platform integration
• Proven leadership and people management capability
• Effective communicator, able to translate between business goals and technical solutions
• Comfort operating in a hybrid architecture environment such as: structured + semi-structured or batch + streaming