Data Platform Engineer

Responsibilities

• Design and build the data systems that power analytics, AI, and business intelligence across Owner
• Replace one-off custom scripts with reproducible, production-grade pipelines
• Own and evolve core platforms including Snowflake, dbt, Dagster, and ingestion/reverse ETL layers
• Improve data reliability, consistency, and compliance
• Move the team to self-service tooling for analysts and partners
• Identify and drive cost and performance optimizations
• Drive technical decisions and best practices for ingestion, transformation, orchestration, and storage
• Provide thoughtful code reviews and technical guidance to peers

Requirements

• 5+ years of data engineering or analytics engineering experience
• Strong SQL and Python fluency
• Hands-on production experience with Snowflake
• Deep ETL/ELT fundamentals, including dbt and a modern orchestrator such as Dagster or Airflow
• Proven track record of impact-driven problem-solving in fast-paced environments
• Excellent technical communication skills
• Comfort building from zero
• A sense of ownership, curiosity, and commitment to continuous learning

Preferred Qualifications

• Experience building a semantic layer or data infrastructure for AI/ML and LLM retrieval
• Experience with reverse ETL or personalization platforms
• Databricks experience
• Experience with data governance, access control, and cost optimization
• Experience mentoring engineers
• Genuine interest in the product and its customers