Data Platform Engineer

Required:

7 9+ years of data engineering or data platform experience with hands-on ownership of production systems

Experience building and operating a data lakehouse, data lake, or modern warehouse architecture (Snowflake, Databricks, or comparable)

Deep fluency with Apache Airflow or comparable orchestration: DAG design, task dependencies, sensors, and production operations

Solid understanding of open table formats (Iceberg, Delta, Hudi) and columnar storage (Parquet, Avro, ORC), including how format choices affect query performance, storage efficiency, and schema evolution

Strong Python: production-grade code, testing, packaging, and debugging

Advanced SQL: complex transformations, performance tuning, and debugging against a cloud warehouse

Hands-on relational schema design, ideally in a multi-tenant SaaS context

Terraform or comparable IaC for managing cloud data resources; CI/CD for pipeline or infrastructure deployment

Familiarity with AWS data infrastructure: S3, IAM, and relevant managed services

Experience using AI-assisted development tools (Claude Code, Cursor, Copilot, or similar) to accelerate engineering workflows

Demonstrated ownership of systems you've inherited and systems you've built from scratch - you can assess an unfamiliar codebase and improve it, and you're just as effective designing something new

Clear written communication: you can describe a system's state, a problem, or a recommendation in plain language

Experience mentoring other engineers through code review, pairing, or technical guidance

AI Dev Tools: Experience with tools like Cloud Code or Cursor is a major plus for rapid ramp-up.

Big Plus would love to see on a resume: Having a software engineer background is a massive plus / background in CICD exp / working with small team / wanting someone that likes to learn (Certs etc)