THE TEAM YOU WILL BE JOINING
- A leading commercial HVAC services platform with a large North American footprint, headquartered in Charlotte and operating across a highly distributed network of service businesses
- A PE-backed growth environment focused on modernization, scalability, and using data more effectively across disconnected business units
- A decentralized operating model with multiple locations, systems, and ERP environments, creating meaningful complexity and opportunity for enterprise data transformation
- A data and AI strategy team building the foundation for better reporting, stronger connectivity, and future AI-enabled business use cases
- A business that values leaders who can think strategically, partner with the business, and still stay close enough to the work to execute hands‑on when needed
LOCATION
- Charlotte, NC (Uptown) – Hybrid (3 days)
- Highly qualified, non‑local Remote candidates will be considered (w/ travel)
WHAT THEY OFFER YOU
- Opportunity to step into a highly visible data platform leadership role during a major modernization effort
- Ability to lead the consolidation of fragmented data environments into a more scalable Databricks platform
- Exposure to a complex, multi‑site service business where data strategy has direct operational and financial impact
- A chance to influence architecture, governance, connectivity, and the future‑state data ecosystem
- PE‑backed environment with urgency, executive visibility, and appetite for practical, value‑driven transformation
WHY THIS ROLE IS IMPORTANT
- Owns the future‑state data platform strategy as the organization moves toward consolidating on Databricks in AWS
- Helps establish the architecture and governance needed to support reliable reporting, analytics, and AI use cases
- Partners across disconnected business units and ERP environments to create a more connected data foundation
- Balances strategic platform leadership with hands‑on technical execution, including direct work inside the Databricks environment
- Provides leadership for the broader data ecosystem, likely including future alignment with pipeline integration resources
THE BACKGROUND THAT FITS
- Deep hands‑on experience in Databricks, including architecture, governance, implementation, and platform management
- Experience standing up or modernizing enterprise data platforms in complex, multi‑system environments
- Strong understanding of data architecture, transformation lifecycles, medallion architecture, and platform connectivity
- Ability to enable AI use cases through a well‑structured, scalable data foundation
- Background in HVAC, field services, PE‑backed platforms, multi‑site businesses, or other service‑based industries would be highly valuable