QUALIFICATIONS

• 4+ years of experience in a data engineering role, ideally in e-commerce or D2C environments.
• Proven expertise in Snowflake and dbt for large-scale data architecture, modeling, and transformation is ideal.
• Strong proficiency in SQL (query tuning, optimization, execution plans).
• Proficiency in Python for scripting, automation, and integration.
• Solid hands-on experience with AWS data services: S3 (data lake storage), Glue (ETL), Lambda/Step Functions (event-driven orchestration).
• Experience implementing data observability and reliability frameworks.
• Demonstrated leadership in growing engineering teams, conducting architecture reviews, and driving coding standards.
• Excellent ability to collaborate with business stakeholders and communicate technical trade-offs clearly.
• Familiarity with BI platforms (ThoughtSpot, Looker, Tableau) and enabling scalable self-service analytics.
• A strategic thinker passionate about data infrastructure, best practices, and enabling a data-driven culture.

THE ROLE

We’re seeking an experienced and strategic Lead Data Engineer to guide our data platform and infrastructure, accelerating the growth of our health and wellbeing e-commerce platform. In this senior position, you’ll architect and oversee our scalable, high-quality data ecosystem, champion best practices across our modern data stack (Snowflake, dbt, ThoughtSpot, AWS), and mentor a growing team of data and analytics engineers.
You’ll partner closely with analytics, product, and executive stakeholders to translate business objectives into a robust data infrastructure that empowers data-driven decision-making.