Sr. Director, Data Engineering

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 owners (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
• Celebrate 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 key enterprise systems, including 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

Qualifications

• 12+ 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 (e.g., Azure SQL, Azure Fabric, Kafka, Snowflake, Databricks, or equivalents)
• Strong cloud data platform experience on Azure, AWS, or GCP
• Demonstrated experience in data governance programs and data quality frameworks
• Able to translate complex business requirements into pragmatic technical strategy and roadmaps
• Strong executive communication skills; comfortable presenting to C-suite and board-level audiences
• Experience operating in dynamic, growth-stage environments, including M&A integration preferred
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field; Master’s preferred