Director, Data Engineering & Analytics

About Bezos Academy

At Bezos Academy, we believe all children deserve the great start that excellent early education provides, including in under-resourced communities. Our mission is to nurture the potential in every child to become a creative leader, original thinker, and lifelong learner by inventing the solutions needed to scale early childhood education. We operate a multi-state network of schools in under-resourced communities, offering quality Montessori preschool at no cost to families, and invest in creating tools, products, technology, and other solutions designed to reach children well beyond the walls of our schools. We aspire to have a profound, large-scale impact on children ages zero to five.

About the Role

As the Director, Data Engineering & Analytics at Bezos Academy, your work will directly shape how we understand our impact on the children and families we serve across our multi-state network of schools. Reporting to the Chief Technology Officer and serving as a member of the Technology leadership team, you will evolve the data foundation that connects our many systems and unlock AI-powered self-service reporting and insights for staff and leadership. This is a player-coach role: you are a seasoned engineering leader who enjoys being hands-on, energized by both managing high-performing people and solving hard technical problems yourself. In a lean environment, you will lead a small, talented team of data engineers, an analytics engineer, and a data analyst—owning architecture, moving fast, and making pragmatic calls. You will empower your team to do their best work and partner closely with software engineering and product teams across the organization.

Location: Seattle, WA. Relocation support is available for those willing to relocate to Seattle, WA.

Responsibilities

• Evolve the data foundation that connects our systems and enables AI-powered self-service reporting and insights.
• Lead a small team of data engineers, an analytics engineer, and a data analyst, owning architecture and delivery.
• Partner with software engineering and product teams to support diverse business functions through data products and insights.
• Design and implement data models that ensure consistency and trustworthiness for analytics and reporting.
• Apply product analytics or applied statistics to measure usage and design or interpret experiments.

Requirements

• Bachelor’s degree or equivalent experience.
• Ten or more years of relevant experience between data and software engineering.
• Five years of experience managing people and leading teams.
• Deep technical expertise in data engineering in a cloud environment (AWS, Azure, GCP, or OCI), including serverless technologies.
• Strong data modeling skills, including designing layers that make data consistent and trustworthy for analytics and reporting.
• Experience with product analytics or applied statistics, including measuring product usage and designing or interpreting experiments.
• Track record of delivering data products and insights to support a diverse range of business functions.
• Excellent written and oral communication skills, with the ability to simplify complex subjects for a variety of audiences.

Preferred Qualifications

• Experience modernizing or migrating a data platform as an organization scales.
• Depth in product analytics for software products used by both organizations and their end users, including experimentation and engagement analysis.
• Deep technical expertise in data engineering in a cloud environment with AWS, including serverless technologies.
• Experience building and leading AI-native teams and being a power user of AI in your own work.
• Experience building AI-powered data tools, such as natural-language agents or automated insights, that make data accessible and actionable for non-technical users.
• Proficiency with a modern BI or data visualization platform (e.g., Power BI, Fabric, Tableau, Looker).

Pay

The full salary range for this position in Seattle, WA is $243,000 - $401,000 per year. The upper third of the salary range is typically reserved for employees who have been in the role for multiple years and have demonstrated strong performance over time. Starting salary will vary by qualifications and prior experience.

Benefits

• 15 paid days of vacation.
• 4 paid days of personal time off.
• 9 paid days of sick (care) time.
• 9 paid holidays.
• 5 paid days off for an organization-wide winter break, plus additional time off if required by applicable law.
• Medical, dental, and vision insurance.
• Life insurance and disability insurance.
• 401(k) plan with a 4% employer contribution match.
• Paid parental leave.
• Employer-matched flexible spending account for dependent care.