Data Engineering Tech Lead

You will own the technical direction of a data platform, make architectural decisions, write production code, solve distributed-systems problems, optimize performance and cost, establish data standards and quality practices, and lead a small team through technical direction, mentorship, reviews, and hiring.

Responsibilities

• Own the technical direction of the data platform
• Make architectural decisions and evaluate their long-term consequences
• Design systems and write production code
• Review implementations and solve complex technical problems
• Drive initiatives from problem identification through production
• Optimize platform performance and cost
• Establish data contracts, schemas, ownership, documentation, standards, and quality practices
• Solve distributed-systems problems involving consistency, fault tolerance, schema evolution, streaming, storage, scalability, and performance
• Lead and grow the data engineering team through technical direction, reviews, mentorship, and one-to-ones

Requirements

• Production software engineering experience with Python or Java
• Deep understanding of distributed systems
• Data engineering experience with pipelines, data platforms, warehouses or lakes, and data modeling
• Ability to make architectural decisions independently
• Ability to identify problems and opportunities independently
• High standards for performance, reliability, cost, data quality, and engineering discipline
• Polish and English language proficiency
• Ability to learn new technologies quickly
• Experience or interest in Flink, ClickHouse, Iceberg, Spark, Python, or Java

Benefits

• Stock options