Lead the data engineering strategy and team to build scalable, secure data platforms, pipelines, and observability for analytics, AI/ML, personalization, and product intelligence. Partner cross-functionally to deliver production data systems, feature stores, and real-time pipelines while hiring, mentoring, and establishing standards for data quality and platform reliability.
About Kiddom
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.
What you'll do...
- Technical & Platform Leadership
- 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.
- AI & Product Enablement
- 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.
- Leadership & Team Development
- 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.
- Cross-Functional Collaboration
- 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.
What we're looking for...
- 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.
Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process.
What we offer
Full time permanent employees are eligible for the following benefits from their first day of employment:
* 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
Equal Employment Opportunity Policy
Kiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws.
Top Skills
Sql,Python,Go,Aws,S3,Eks,Ecs,Snowflake,Streaming Data Systems,Real-Time Data Systems,Feature Stores,Pipeline Orchestration,Model Training Pipelines,Cloud-Native,Distributed Systems
Kiddom San Francisco, California, USA Office
We are in Union Square, close to BART, MUNI, other public transportation, coffee shops, restaurants, bars, and shops. It's a bustling neighborhood in the heart of San Francisco with easy access to restaurants for offsite socializing at lunch or after work.
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