Director of Data Engineering

Accountabilities:: Own the data roadmap, architecture, and company-wide data model, establishing a trusted single source of truth for core business data. Modernize and refactor legacy data jobs, reducing technical debt and creating a platform that can scale with business growth. Ensure data pipelines remain resilient, reliable, accurate, and consistently available to teams across the organization. Establish and maintain strong data quality, governance, monitoring, and observability practices. Manage warehouse and infrastructure costs as data volumes and business requirements increase. Lead the team's intake and sprint-planning process, prioritizing requests according to business impact while adapting to changing priorities. Lead, coach, and develop a small data engineering team through code reviews, regular feedback, mentorship, and clear growth paths. Stay hands-on with technical work when required, contributing directly to architecture, engineering, troubleshooting, and platform improvements. Integrate new enterprise systems, including ERP platforms, into the data warehouse and broader data ecosystem. Introduce and scale AI-native ways of working, using AI agents for software development, incident investigation, data quality, and engineering productivity. Promote a pragmatic engineering approach that starts with the business question and selects the simplest technology capable of solving it. Foster a culture where data integrity and trust are treated as critical, priorities are managed decisively, and engineers are supported in developing into senior contributors and future managers. Requirements: 8+ years of experience in data architecture or data engineering, including at least 3 years of experience leading teams. Proven experience building and scaling cloud-based data platforms, with BigQuery or a comparable technology. Strong hands-on expertise in SQL and Python, along with dbt or a similar data modeling framework. Deep experience with data modeling and the ability to design data structures starting from business concepts and requirements rather than simply from existing tables. Experience establishing data quality, governance, monitoring, and observability practices that create confidence across the organization. Experience managing sprint-based intake, prioritization, and delivery for a data team supporting multiple business stakeholders. Familiarity with ELT platforms such as Fivetran and comparable data integration tools. Experience working with enterprise systems and data integrations; ERP experience is a plus. Experience in direct-to-consumer (DTC) or consumer packaged goods (CPG) environments is preferred. Strong judgment and prioritization skills, with the ability to balance urgent business needs against long-term platform health and technical debt. Hands-on leadership style with the ability to move between strategic planning, technical problem-solving, and people management. Strong coaching and communication skills, with a commitment to developing engineers and creating clear paths for professional growth. Practical experience using AI agents or AI-assisted engineering tools, with an openness to making AI a meaningful part of day-to-day technical workflows. Benefits: Base salary of $200,000 plus bonus and incentive compensation, depending on experience. Comprehensive benefits package supporting employee and family well-being. Strong healthcare benefits coverage. Generous paid time off. Wellness and health-focused perks. Free access to company products. Fully remote, high-trust working environment. Biannual company off-sites providing opportunities for in-person connection and collaboration. Significant ownership and influence over the organization's data strategy and technical foundation. Opportunities for career growth and meaningful impact while building an enterprise-level data function.