Data Reliability and Quality Engineer at Symphonic Distribution | Jobyssey

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 the underlying data models

What you need to have //

Advanced SQL skills, with the ability to write complex queries to compare datasets and identify anomalies
Data modeling knowledge, including understanding of star schema (Facts vs. Dimensions)
Experience with, or strong willingness to learn, dbt (data build tool) and Snowflake
Familiarity with AWS S3 and data ingestion tools such as Stitch, Estuary, or similar
Experience working with Azure DevOps, Jira, or similar tools within a sprint-based, agile environment
2 years of experience working in Data Engineering

What will set you apart //

Extreme attention to detail
A strong analytical and problem-solving mindset
Ability to communicate technical data issues clearly to non-technical stakeholders
Love for music
5 years of experience working in Data Engineering

Additional Insights //

This position will report to the Data Quality Lead located in Colombia
Must be currently living in Colombia
Symphonic does not offer relocation assistance

About Symphonic Distribution

Symphonic Distribution enables content creators to fully maximize their music’s revenue and grow their global audience. The company focuses on working with: record labels, artists, managers, producers, social media influencers, and even distributors just like us to get their messages seen and heard. While our core business is to distribute music digitally and physically for the many talented creators that we have the honor of working with, we focus on a number of services, such as: Physical Distribution, User Generated Content Monetization on YouTube, Tik Tok, Triller, Instagram, Release Promotion such as Playlist pitching, marketing diagnostics, strategy and a number of other very important services to ensure that creators are maximizing and collecting on as many royalties as possible. Symphonic also showcases one of the largest partnership networks available, partnering with Spotify, Apple Music, Pandora, Amazon, and many other services where music can be consumed on. Check out more about us on our website at

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