Director of Data Engineering

Kiddom • San Francisco, CA

3d • $180,000 - $250,000

About The Position

Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning.

We are looking for a Director of Data Engineering to lead the evolution of Kiddom’s data platform as a foundational layer powering analytics, AI, personalization, and product intelligence across our ecosystem.

As Director of Data Engineering, you will define and execute Kiddom’s data engineering strategy while leading a high-performing team responsible for building scalable, secure, and reliable data systems. You will partner closely with Engineering, Product, AI/ML, Curriculum, Analytics, and Go-to-Market teams to ensure data enables every major company initiative. This role blends technical leadership, organizational management, and platform vision. You will shape how educational data flows across Kiddom — from ingestion and modeling to real-time insights and AI-driven features.

Requirements

• 10+ years of experience in data engineering, backend engineering, or distributed systems.4+ years leading or managing high-performing engineering teams.
• Passion for attracting and growing top notch talent.
• Proven experience designing and operating large-scale data platforms in production environments.
• Strong expertise in SQL and programming languages such as Python or Go.
• Experience with modern cloud data ecosystems (AWS preferred), including services such as: S3, EKS/ECSData warehousing platforms (Snowflake or similar), streaming and real-time data systems
• Deep understanding of data modeling, pipeline orchestration, and analytics architecture.
• Experience supporting AI/ML workflows and data products.
• Ability to balance strategic leadership with hands-on technical depth.

Responsibilities

• Define and execute the long-term vision for Kiddom’s data platform supporting analytics, AI/ML, and product intelligence.
• Architect scalable batch and real-time data pipelines powering personalization, reporting, and learning insights.
• Establish best practices for data modeling, data quality, lineage, and observability across the organization.
• Guide evolution of data infrastructure across cloud-native environments and distributed systems.
• Ensure data systems meet performance, scalability, reliability, and compliance requirements as product usage grows.
• Partner with AI/ML teams to enable feature stores, experimentation workflows, and model training pipelines.
• Support delivery of AI-powered product capabilities through reliable, well-modeled datasets.
• Collaborate with Product and Engineering leaders to integrate data seamlessly into user experiences and decision systems.
• Build, mentor, and scale a world-class data engineering organization.
• Establish clear technical standards, career growth paths, and operational excellence practices.
• Foster a culture of ownership, collaboration, and continuous improvement.
• Provide technical guidance while empowering engineers to lead initiatives.
• Work closely with Product, Curriculum, Analytics, Customer Success, and GTM teams to translate business needs into scalable data solutions.
• Support company planning through data strategy aligned with customer adoption cycles and business priorities.
• Drive alignment between platform engineering, infrastructure, and analytics initiatives.

Benefits

• Competitive salary
• Meaningful equity
• Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
• One Medical membership (in participating locations)
• Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year.
• 10 paid sick days per year (pro rated depending on start date)
• Paid holidays
• Paid bereavement leave
• Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State.
• Commuter and FSA plans

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed