Lead Data Infrastructure Engineer integrating data systems for on-demand vinyl production and sales. Designing scalable data pipelines and ensuring quality for music creators worldwide.
Responsibilities
As a **Lead Data Infrastructure Engineer **(AWS, Factory & Web Analytics), you will design and build the data backbone that connects elasticStage’s two software systems - our Web platform and our Factory system, with our global artist ecosystem.
We’re now ready to take our data systems to the next level, **integrating factory telemetry, manufacturing performance, sales data, and creator engagement** into one consistent, reliable platform. This is a hands-on role for an experienced data engineer/architect who will shape how data flows through elasticStage: designing and implementing scalable pipelines, ensuring data quality and governance, and enabling teams to make decisions from fast, trustworthy, well-structured datasets.
**Join us and help create the data foundation powering the world’s most advanced on-demand music platform.**
Requirements
**Set & enforce data standards:** Define, document, and enforce event schemas, data contracts, and modelling conventions across the Factory and Web systems.
**Data quality & root-cause elimination:** Establish tests, SLAs, lineage, and monitoring; run post-incident reviews and drive permanent fixes.
**Platform creation & optimisation (AWS):** Architect and operate on AWS (S3, Glue, Athena/Redshift Serverless, Lambda, Kinesis, Aurora/RDS, IAM) optimised for cost, performance, and reliability.
**Pipelines (ETL/ELT):** Build and maintain batch/stream pipelines unifying factory machines & QC events, the web platform (creators, releases, orders, sales), and third-party APIs (royalties, payments, logistics).
**Modelling & lakehouse:** Define and maintain a structured data lake and analytics schemas with dbt (or equivalent) and AWS cataloguing tools.
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