Design and maintain data infrastructure, deploy data pipelines, ensure data quality, and collaborate with teams to meet data needs within the organization.
Kiddom is redefining how technology powers learning. We combine world-class curriculum with cutting-edge AI and modern SaaS infrastructure to help schools deliver truly personalized education at scale. Our platform equips educators with real-time insights and flexible tools, enabling them to focus on what matters most—driving student growth and equity.
We’re not just building technology; we’re driving innovation in an industry ready for transformation. At Kiddom, team members sit at the center of this effort, collaborating across engineering, design, research, and education to create experiences that push boundaries and unlock new possibilities for learners and educators alike.
If you thrive in ambiguity, love working in high-ownership cultures, and are energized by the intersection of human impact and next-gen technology, this is the place to shape something transformative.
About this role:
The Data Architecture team builds and supports Kiddom’s data systems. In addition to improving the core architecture of our curriculum graphs and analytics, they also support other teams in the company and their usage of the Kiddom data platform, with an eye for student data privacy and security.
You will work closely with other departments, including Product, Engineering, and Analytics, to understand and cater to their data needs. You will also define and document data workflows, pipelines, and transformation processes for clear understanding and knowledge sharing.
We are looking for someone with excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholdersDo you have a strong understanding of PII compliance and best practices in data handling and storage. If you also exhibit strong problem-solving skills, with a knack for optimizing performance and ensuring data integrity and accuracy, we want to chat!
You will...
- Design, implement, and maintain the organization’s data infrastructure, ensuring it meets business requirements and technical standards.
- Deploy data pipelines to AWS infrastructure such as EKS, ECS, Lambdas and AWS Glue.
- Develop and deploy data pipelines to clean and transform data to support other engineering teams, analytics and AI applications.
- Extract and deploy reusable features to Feature stores such as Feast or equivalent.
- Evaluate and select appropriate database technologies, tools, and platforms, both on-premises and in the cloud.
- Monitor data systems and troubleshoot issues related to data quality, performance, and integrity.
What we're looking for...
- 3+ years of experience as a data engineer, and 8+ years of software engineering experience (including data engineering)
- Proven experience as a Data Engineer or in a similar role with strong data modeling, architecture, and design skills.
- Strong understanding of data engineering principles including infrastructure deployment, governance and security.
- Experience with MySQL, Snowflake, Cassandra and familiarity with Graph databases. (Neptune or Neo4J)
- Proficiency in SQL, Python, (Golang)
- Proficient with AWS offerings such as AWS Glue, EKS, ECS and Lambda
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
Aws Glue
Cassandra
Ecs
Eks
Go
Graph Databases (Neptune Or Neo4J)
Lambda
MySQL
Python
Snowflake
SQL
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.
Similar Jobs
Fintech • Mobile • Software • Financial Services
The role involves designing and maintaining data pipelines and architectures for the People Analytics team, enhancing data systems for better decision-making and compliance.
Top Skills:
ContainersGCPOrchestration ToolsPythonRedshiftSnowflakeSQL
Artificial Intelligence • Big Data • Healthtech • Biotech • Pharmaceutical
Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.
Top Skills:
DagsterDbtPythonSnowflakeSQL
Fintech • HR Tech
The Senior Data Engineer will build scalable data systems, optimize data workflows, and collaborate with teams to enhance data-driven decisions.
Top Skills:
BigQueryDatabricksDbtPythonRedshiftSnowflakeSQL
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
