Lead Data Engineer
Role details
Job location
Tech stack
Job description
We are looking for a Lead Data Engineer to help build and scale our core data infrastructure. This is a hands-on technical leadership role for someone who can drive high-quality engineering execution, contribute to architectural decisions, and support the development of junior team members.
In this role, you'll lead complex data engineering initiatives, design solutions end-to-end, and work closely with the VP of Engineering to align technical execution with broader platform strategy.
You'll take ownership of key data engineering projects, guide technical decision-making, and collaborate with cross-functional partners to translate business needs into well-designed, scalable solutions. You'll balance hands-on development with leadership responsibilities, ensuring both high-quality delivery and strong engineering practices across the team.
This role is ideal for an engineer who enjoys hands-on development, technical leadership, and shaping solutions.
In this role, you will:
- Design, build, and maintain scalable data pipelines on AWS using services such as Step Functions, S3, Lambda, EMR, ECS, Athena, and SNS
- Support the architecture and operation of our Snowflake environment, including data modeling, performance tuning, and RBAC
- Develop SQL and Python workflows, and integrate APIs for ingestion and external system connectivity
- Contribute to the design of evolving data models that power analytics, BI, and downstream applications
- Champion data quality, reliability, observability, and best practices in version control, testing, and CI/CD
- Lead technical projects from concept through delivery, ensuring high-quality execution and alignment with engineering standards
- Mentor junior and mid-level engineers through code reviews, design discussions, and hands-on guidance
- Partner closely with the VP of Engineering on architectural decisions, engineering priorities, and long-term platform strategy
- Collaborate with cross-functional stakeholders to translate business requirements into clear, actionable engineering solutions
Requirements
Do you have experience in Stakeholder management?, * 6-8 years of hands-on experience in data engineering, building and maintaining production-grade data pipelines and cloud-native data systems
- Strong experience with AWS data services and cloud-native data engineering patterns
- Proficiency in Python and SQL for building and maintaining data workflows
- Experience with Snowflake, including data modeling, performance optimization, and environment management
- Experience building or integrating APIs within data ecosystems
- Ability to lead projects, mentor engineers, and influence technical direction
- Strong communication skills and the ability to work with non-technical stakeholders
- Comfort working directly with senior engineering leadership, including the VP of Engineering, on solution design and platform evolution
Benefits & conditions
4.74.7 out of 5 stars Los Angeles, CA $100,000 - $120,000 a year - Full-time