Manager, Data Platform

Manager, Data Platform, Peachtree City, Georgia

The Manager, Data Platform is a player‑coach technical leader within Interfor’s Data & Analytics practice, responsible for leading the team that operates and continuously improves Interfor’s core data capabilities. Leading a team spanning database administration, platform engineering, and data engineering, the Manager sets technical direction, establishes operating standards, develops technical talent, and partners across IT, the business, and key vendors to deliver trusted enterprise data capabilities.

The role has three primary objectives:

• Ensure the reliability, scalability, and continuous improvement of Interfor’s enterprise data platform.
• Guide the evolution of Interfor’s data platform, including adoption of Microsoft Fabric and modern data platform capabilities.
• Build and develop a high‑performing technical team.

In the first year, success includes improved platform reliability, meaningful progress on Microsoft Fabric adoption, a strengthened technical team, and trusted enterprise data that business teams rely on.

The successful candidate remains technically credible through architecture direction, coaching, complex problem‑solving, and operational oversight. This is a leadership role that works primarily through a capable technical team, with senior staff leading detailed design and execution.

This role embodies Interfor’s values through a safety‑first, fact‑based, and proactive approach to decision making; deep respect for people; and a personal commitment to ownership, accountability, and operational excellence.

Interfor offers a competitive salary based on experience, skills, and qualifications, along with a comprehensive total rewards package. We’re committed to creating careers where employees can contribute, grow, and thrive. In addition to base pay, you’ll enjoy:

• Short-Term Incentive Bonus
• 3 weeks vacation to start
• 401(k) matching
• Employee Share Purchase Program matching
• Extended Health & Dental

• Database Leadership & Operational SQL
  • Lead, coach, and develop the DBA team, setting priorities and operating standards in partnership with senior technical staff.
  • Ensure SQL platform reliability across performance, security, patching, backup/recovery, HA/DR, release management, and on‑call/incident response.
  • Lead SQL modernization planning, including evaluating and adopting Azure SQL and Azure SQL Managed Instance where appropriate.
• Platform & Data Engineering
  • Provide technical leadership for the evolution of Interfor’s data platform, including Microsoft Fabric adoption, platform operations, and modern data engineering practices.
  • Establish reusable standards for Dev Ops, automation, security, integration, testing, data quality, and platform operations.
  • Coach data engineers in delivering trusted data products while supporting the evolution of Interfor’s enterprise data warehouse and lakehouse architecture.
• Data & Platform Management
  • Ensure platform services are governed, secured, and operated across business domains with clear ownership and strong access controls.
  • Manage platform cost, capacity, licensing, lifecycle, and technical debt across Azure, SQL Server, Power BI, and related services.
• Analytics & AI Enablement
  • Enable BI teams, data scientists, and citizen developers through governed data models, curated data products, and trusted single‑source‑of‑truth reporting.
  • Support responsible AI adoption by helping ensure data foundations are secure, governed, well‑documented, and AI‑ready.
• People Leadership & Stakeholder Engagement
  • Hire, onboard, coach, and develop a distributed technical team, setting clear expectations, supporting growth, and building strong team practices.
  • Lead key data platform initiatives, managing priorities, risks, dependencies, stakeholder alignment, and technical debt.
  • Partner across IT, business, vendors, and architecture to align roadmaps and delivery, with occasional U.S. and Canada travel to sites and vendors.

• Post‑secondary degree in Computer Science, Software Engineering, Information Systems, Data & Analytics, or a closely related technical discipline is required.
• Master’s degree in a relevant…