Director of Data Architecture
The Director of Data Architecture will lead the design and execution of the company’s enterprise data strategy, ensuring scalable, secure, and high-performing data solutions that enable advanced analytics, business intelligence, and operational decision-making.
This role is critical to building and scaling a centralized data foundation for a ~$500MM, PE-backed, growing organization , including post-acquisition environments. The Director will architect and implement modern cloud-based data solutions, oversee data warehousing and integration, and establish architecture and governance standards that support long-term growth. This is a hands-on leadership role , suited for someone who has operated in high-growth, imperfect environments and knows how to modernize fragmented systems. Key Responsibilities:
- Develop and execute an enterprise data strategy aligned to business objectives and future-state architecture
- Design and maintain enterprise data architecture, including data models, integration patterns, and architecture standards
- Lead the development and optimization of cloud data warehousing solutions, ensuring scalability, performance, and reliability for analytics and reporting
- Architect and implement centralized, trusted data tables to support accurate and scalable reporting across the organization
- Design and implement new data feeds integrating core enterprise platforms, including Workday, SAGE, HubSpot, Ironclad, and ServiceNow
- Partner closely with Finance, IT, and Business leaders to enable data-driven decision-making (CFO, CRO, COO-level engagement)
- Oversee data migration, transformation, and post-acquisition data integration initiatives
- Establish and enforce data governance frameworks, including data quality, metadata management, security, and compliance standards
- Drive adoption of modern cloud data platforms and ETL/ELT frameworks (Snowflake strongly preferred)
- Lead, mentor, and grow a small to mid-sized team of data architects and engineers
- Balance architecture leadership with hands-on execution where needed
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field
- 10+ years of experience in data architecture, data engineering, or enterprise data roles
- 5+ years in a leadership or team-lead capacity
- Proven experience designing enterprise data architectures in scaling, high-growth environments
- Proven ability to unify disparate systems (ERP, CRM, ticketing, financial, operational)
- Hands-on experience with Snowflake and modern cloud data platforms (AWS, Azure, GCP)
- Strong experience with modern ETL/ELT tools and frameworks
- Exposure to financial and operational data domains (MRR/ARR, forecasting, revenue modeling
- Deep understanding of data governance, security, and compliance best practices
- Excellent communication skills with the ability to influence senior business and technical stakeholders
- Experience in PE-backed, multi-opco, or M&A-driven environments
- Familiarity with BI and analytics tools (Power BI, Tableau, Looker)
- Experience with lakehouse architectures and real-time or near-real-time data processing
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