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

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

Lead Data Engineer

Key skills