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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Platform - **Company:** Interfor - **Location:** Peachtree City, GA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Microsoft Azure, Business Systems, Information Systems, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Data Warehousing, DevOps, Dimensional Modeling, Microsoft Data Access Components, Microsoft Software, Microsoft SQL Server, SQL Azure, Peachtree (Accounting Software), Performance Tuning, Release Management, Power BI, Cloud Services, Software Engineering, SQL Databases, Enterprise Data Management, Enterprise Software Applications, Snowflake, Technical Debt, Microsoft Fabric, Core Data, Information Technology, Data Analytics, Enterprise Integration, Data Management, Cloud Migration, Azure Synapse Analytics, Databricks - **Published:** October 23, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3466666645&tx=KJ4949FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 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 technical, analytics, or business discipline is preferred. * 8+ years of progressive experience across database administration, data engineering, data platform management, cloud data platforms, or related enterprise technology roles. * 3+ years leading, supervising, or formally mentoring technical staff responsible for enterprise-scale data platforms, analytics platforms, or critical business systems; direct people-management experience preferred. * Strong Microsoft SQL Server expertise, including administration, tuning, security, patching, backup/recovery, HA/DR, and production support. * Experience with modern data platform practices, including Azure, cloud modernization, DevOps/CI/CD, automation, secure integration, monitoring, and cost management. * Experience with enterprise data warehouse and lakehouse architecture, dimensional modeling, semantic models, data quality, and governed self-service reporting. * Experience implementing Microsoft Fabric or comparable modern cloud data platforms (e.g., Azure Synapse, Databricks, Snowflake) is preferred. * Relevant Microsoft, data engineering, architecture, governance, or project management certifications are assets. * Experience in forestry, manufacturing, supply chain, or related asset-intensive industries is an asset. * Technical leadership across platform strategy, standards,troubleshooting, and coaching, with sound judgment on when to lead throughthe team and when to engage directly. * Strong SQL Server and data platform judgment, with a focus onreliability, performance, security, modernization, HA/DR, and businesscontinuity. * Strong working knowledge of modern Microsoft data platforms, cloudtechnologies, DevOps practices, automation, monitoring, and dataengineering principles. * Strong people leadership, with the ability to hire, coach, develop,retain, and hold technical talent accountable. * Ability to translate business needs into platform priorities andclearly communicate trade-offs, risks, roadmaps, and service expectations. * Manages the data platform as a product, balancing reliability, cost,adoption, and business value. ## Description 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., * 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 DevOps, 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. * PeopleLeadership & 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.