Director of Data Engineering

AccruePartners

Charlotte (NC)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

AccruePartners is seeking an experienced data platform leader to own the strategy during a modernization effort using Databricks in AWS. The ideal candidate will have extensive expertise in Databricks, data architecture, and managing complex, multi-site data environments. This role involves balancing strategic leadership with hands-on execution, partnering with various business units to consolidate data environments. The compensation will reflect the urgency and impact of the role in a PE-backed growth environment.

Qualifications

  • Deep hands-on experience in Databricks, including architecture and governance.
  • Experience modernizing enterprise data platforms in complex environments.
  • Strong understanding of data architecture and transformation lifecycles.

Responsibilities

  • Owns the data platform strategy as the organization consolidates on Databricks.
  • Establishes architecture and governance for reliable reporting and AI use cases.
  • Partners across business units to create a connected data foundation.

Skills

Databricks expertise
Data architecture knowledge
Hands-on technical execution
Experience in multi-site businesses

Job description

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
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