Data Engineering Leader: Scale, Governance & AI Enablement

There's Only One Place; Highland Heights (OH); On-site; USD 160,000 - 230,000; Full time

Job summary

There’s Only One Place is seeking a Sr. Manager, Data Engineering to define and drive the enterprise data engineering roadmap, build a high-performing team, and partner with IT, Analytics, and business leaders to deliver scalable data capabilities.

This senior role emphasizes data governance, AI-ready data, and cross-functional collaboration across ERP and supply chain systems. The candidate will lead a cloud-focused data platform strategy across Azure, AWS, or GCP, ensuring reliability,

Qualifications

• 10+ years of progressive experience in data engineering, data architecture, or a related technical discipline.
• 5+ years of people leadership experience, including managing and developing senior engineers and managers; communication is a critical facet for this role with an ability to manage up, to the side or down.
• Proven track record of architecting and delivering enterprise-scale data platforms in production.
• Deep expertise in modern data stack tooling (Azure SQL, Azure Fabric, Kafka, Snowflake, Databricks, or equivalents).
• Strong cloud data platform experience on Azure, AWS, or GCP.

Responsibilities

• Define and drive the enterprise data engineering roadmap, aligned to business and technology goals.
• Build, lead, and mentor a multi-disciplinary team of data engineers (10-15) and product owner(s) (1-2).
• Partner with the CIO, Analytics, AI, and business leadership to prioritize and deliver data capabilities.
• Establish engineering standards, best practices, and an operational excellence framework across the data organization.
• Champion a culture of data quality, engineering rigor, and continuous improvement.
• Architect and oversee scalable data pipelines, data lakes, warehouses, and real-time streaming infrastructure.
• Lead cloud-native data platform strategy and adoption across Azure, AWS, or GCP environments.
• Own the selection, implementation, and lifecycle management of data engineering tools and platforms.
• Ensure data platform reliability, performance, and cost efficiency at scale.
• Partner with Platform Development Architects and leadership on integration patterns across ERP, ServiceNow, and supply chain platforms.
• Own and evolve the enterprise data governance framework, including data lineage, cataloging, and access controls.
• Define and enforce data quality standards, measurement, and remediation processes.
• Partner with Security and Legal to ensure compliance with data privacy regulations and policies.
• In partnership with the Director of Development and AI, drive adoption of clean, governed, AI-ready data as a core organizational asset.
• Manage team delivery across multiple concurrent programs, including integration workstreams from M&A activity.
• Lead data engineering support for AI/ML platform enablement.
• Oversee vendor relationships, contracts, and budget for data infrastructure and tooling.
• Establish SLAs, incident management, and monitoring for data platform operations.

Skills

Data engineering

Data architecture

People leadership

Cloud platforms

Executive communication

M&A integration

Data governance

Data quality

Education

Bachelor's degree in CS/IS/Engineering

Master's degree preferred

Tools

Azure SQL

Azure Fabric

Kafka

Snowflake

Databricks

AWS

GCP

Job description

There’s Only One Place is seeking a Sr. Manager, Data Engineering to define and drive the enterprise data engineering roadmap, build a high-performing team, and partner with IT, Analytics, and business leaders to deliver scalable data capabilities.

This senior role emphasizes data governance, AI-ready data, and cross-functional collaboration across ERP and supply chain systems. The candidate will lead a cloud-focused data platform strategy across Azure, AWS, or GCP, ensuring reliability,