Data Reliability and Quality Engineer

Data Reliability and Quality Engineer
Symphonic is a fully independent music distribution and marketing company based in Tampa, Florida, with a global team supporting independent artists and labels worldwide.
We’re passionate about music, but even more passionate about the people behind it. We’re looking for curious, driven, and collaborative individuals who want to build, learn, and grow with us. We believe diverse perspectives make better teams, better products, and better outcomes, and we’re committed to creating a workplace where everyone belongs.

Sounds like you? Let's talk.

In a nutshell
We are looking for a highly meticulous Data Reliability and Quality Engineer to elevate our Data Engineering capabilities and join our team of creative, passionate, and forward-thinking individuals. You will be the guardian of our data ecosystem, passionate about ensuring the accuracy, reliability, and integrity of our platform to delight and empower our users.
What you will do

Execute end-to-end testing for new data pipelines and dbt models, validating that business logic is correctly applied in Fact and Dimension tables
Serve as the final checkpoint for complex SQL transformations, including Fact and Dimension tables
Design and implement generic and singular dbt tests to catch logic errors before they reach Snowflake
Daily monitoring of dbt freshness, Stitch Data connectors, and S3 ingestions; proactively identify and report data gaps or ingestion failures
Implement and maintain automated tests (dbt tests, SQL alerts) to monitor data health and schema changes in Snowflake
Own data-related bugs in Azure DevOps, coordinating with Squads for resolution
Assist Product Managers in defining data acceptance criteria and support the QA team with data-related queries
Perform spot-checks on Mode Analytics and Metabase dashboards to ensure visual metrics match