Director of Data Engineering

Role Overview

• 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.

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/ECS Data 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.

Tech Stack

• AWS
• Cloud
• Distributed Systems
• Python
• SQL
• Go

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