Senior Data Quality & Observability Engineer

Responsibilities:

• Build and own data quality and observability across our data platform.
• Profile data, define quality rules, and catch issues early.
• Establish quality metrics, monitoring, and alerting, and track quality SLAs.

Requirements:

• 5+ years in data engineering, analytics engineering, or data quality, with deep SQL and hands-on Snowflake.
• Experience with data quality or observability tooling (e.g., dbt tests, Great Expectations, Soda, or Monte Carlo).
• Hands-on data profiling and experience defining quality rules, metrics, and SLAs.

Culture:

• Providing clients with a world-class experience is the number one priority, with extraordinary response times and proactivity.
• Challenge convention by questioning how viable ideas can be put into motion.
• Embrace technological change, adopting tools and techniques that make us faster, smarter, and better.