Data Architects Manager, BuildOps

• 7+ years in data architecture, data engineering, or advanced analytics, including hands-on experience with data modeling, ETL/ELT, and BI/reporting
• 3+ years managing data-focused teams (analysts, architects, engineers, or similar) with a track record of building high-performing teams
• Strong practical experience with relational data modeling and multiple source systems (FSM, ERP, accounting, CRM, etc.)
• Proven success leading data migration or large-scale data initiatives in SaaS implementations or enterprise programs
• Excellent communication and documentation skills; able to explain complex data concepts to non-technical stakeholders
• Systems-thinking mindset with a bias toward pragmatic, repeatable solutions over one-off custom work

Desirable

• At BuildOps, we’re building a groundbreaking software solution designed to empower today’s commercial contractors
• From service management to project execution, we’re reimagining how our customers operate
• Our team thrives on ambition, innovation, and collaboration—qualities we look for in every new hire
• As the Manager, Data Architects – Professional Services, you’ll own the data architecture and migration strategy that underpins BuildOps implementations, reporting, and long-term customer success
• You’ll lead a team of Data Architects responsible for data discoveries, migration plans and cutovers, reporting packages, and complex ETL projects—shaping how data flows across our most strategic customers
• Lead, coach, and develop a high-performing team of Data Architects; own hiring, onboarding, performance, and career growth
• Own the end-to-end data architecture for implementations, including core data models, source-system mapping patterns, and standards for staging, validation, and reporting
• Define and maintain reference architectures and reusable playbooks for migration and reporting scenarios (e.g., ServiceTitan, SAMPro, QuickBooks, Intacct, NetSuite, Vista)
• Set strategy and standards for data discovery, mapping, transformation, validation, and cutover; enforce data quality thresholds for go-live
• Partner with Implementation, Solutions Architecture, Integrations, and Product & Engineering to translate business/reporting needs into concrete data designs
• Design and roll out SOPs, tools, and documentation that make data work scalable, predictable, and easy for the broader PS org to leverage
• Own data delivery planning and capacity across implementations; track throughput, quality, and rework, and proactively flag risks and mitigation options