Director of Engineering, Data

About the role

The Director of Engineering, Data will lead the strategy, architecture, and execution of a scalable data ecosystem that powers business intelligence, customer-facing products, and AI-driven capabilities. This role offers the opportunity to shape the future of a growing technology platform by building reliable, secure, and high-performing data infrastructure. You will lead a talented engineering organization while partnering closely with Product, Engineering, Analytics, and business leaders to transform data into strategic value. The position requires a balance of deep technical expertise, strong leadership, and the ability to translate business needs into long-term technical solutions. You will establish modern data practices, strengthen governance and compliance, and enable teams across the organization to make better decisions. This is a high-impact leadership opportunity within a collaborative, remote-first environment where your work will directly influence product innovation and company growth.

Accountabilities

• Define and execute the long-term technical strategy for the data platform, ensuring scalability, reliability, security, and performance.
• Lead, mentor, and grow a team of data platform engineers while creating a culture of technical excellence, accountability, and continuous improvement.
• Build and maintain scalable data infrastructure, including pipelines, processing systems, integrations, and platform capabilities.
• Partner with Product, Engineering, and Analytics teams to deliver customer-facing reporting, dashboards, and data-driven experiences.
• Establish data governance frameworks, quality standards, lineage practices, and compliance processes.
• Drive architectural decisions that balance immediate business needs with long-term flexibility and scalability.
• Develop operational excellence practices, including monitoring, alerting, reliability improvements, and performance optimization.
• Enable machine learning and AI initiatives through robust infrastructure, deployment frameworks, and data foundations.
• Collaborate with leadership to align data platform priorities with broader business and technical objectives.

Requirements

• 10+ years of experience in data platform engineering, distributed systems, infrastructure engineering, or related technical fields.
• 5+ years of experience managing engineering teams, including senior engineers and technical leaders.
• Proven experience building scalable data platforms and ML infrastructure supporting analytics and customer-facing products.
• Strong knowledge of modern data technologies such as dbt, Airflow, Snowflake, Kafka, and related data ecosystem tools.
• Deep understanding of data governance, data quality frameworks, security practices, and compliance requirements.
• Experience partnering with Product teams to deliver reporting, analytics features, and data-powered customer experiences.
• Ability to create technical roadmaps aligned with business goals while balancing strategic vision and execution.
• Strong communication skills with the ability to influence stakeholders and collaborate across technical and non-technical teams.
• Experience operating effectively in fast-paced, high-growth environments with evolving priorities.

Benefits

• Competitive base salary range of $220,000 - $270,000 per year for U.S.-based candidates, with potential eligibility for additional variable compensation.
• Equity opportunities to participate in the company's growth and long-term success.
• Fully remote work environment with flexibility to choose where you work.
• Monthly work-from-home stipend to support a productive remote setup.
• Comprehensive medical, dental, vision, and life insurance coverage.
• 401(k) plan with company matching contributions.
• Flexible vacation policy to support work-life balance.
• Family planning resources and specialized support programs.
• Learning and development opportunities through dedicated employee programs.
• Opportunity to work on challenging projects that shape the future of data-driven technology.