Lead Engineer- Stats and Analytics, Data Externalization

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Requirements:

• Extensive experience with big data processing, ideally at the scale of terabytes or more.
• Strong technical leadership skills with a proven ability to define and drive long-term engineering strategies.
• Hybrid expertise in data engineering and software development – not just someone who runs queries, but someone who has built scalable data systems and engineering solutions.
• Hands-on experience with data warehouse technologies is highly desirable.
• Bonus: Familiarity with tools like Trino/Presto, Snowflake, and other modern data warehouse platforms.
• Track record of building and scaling robust data pipelines and systems in production environments.
• An ability to think strategically, lead technically, and inspire the team toward delivering high-impact, scalable solutions.

Responsibilities:

• Architect scalable low-latency backend systems and data pipelines.
• Write code as needed to support the team.
• Lead and mentor a team of talented engineers within the backend distributed systems team
• Make a positive impact on the team's productivity and growth
• Promote software development best-practices and conduct rigorous code reviews
• Rigorously identify and solve technical challenges
• Conduct interviews to attract and identify potential high performing candidates
• Balance and prioritize projects to maximize efficiency and ensure company objectives are achieved