Hybrid Lead Data Infrastructure Engineer

at elasticStage

• Job title: Lead Data Infrastructure Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Amazon Redshift, AWS, ETL
• Location requirements: Hybrid, King's Cross, United Kingdom

About the role

• 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.
• **Governance & compliance:** Implement access controls, privacy/PII handling, auditability, and clear ownership.
• **Observability:** Deliver lineage, testing, alerting, and cost/perf dashboards so pipelines are visible and dependable.
• **Collaboration:** Partner with software, factory/ops, and product teams to co-design events and contracts; ensure smooth, scalable data flows.
• **Analytics enablement:** Lay the foundation for dashboards, forecasting, and operational analytics, selecting best-fit BI tools.
• **Mentorship & leadership:** Lead design discussions, set technical direction, and mentor developers to raise data literacy and engineering standards.
• **What You’ll Build (first 6-12 months):**
• A unified AWS-based data lake capturing events from both Factory and Web systems.
• Clean, versioned datasets for manufacturing performance, sales, and creator engagement.
• Data models powering operational visibility, forecasting, and future ML/AI.
• A platform that scales as elasticStage expands to new manufacturing sites and markets.

Benefits

• **What We Offer:****
• **Industry-Leading Salary Package:** Enjoy a highly competitive salary package that rewards your expertise and hard work.
• **Generous Paid Holiday:** Take advantage of 25 days of paid holiday to relax and recharge.
• **Comprehensive Pension Scheme:** Secure your future with our robust pension scheme.
• **Cutting-Edge Tech Office Environment:** Work in a modern, tech-driven office environment equipped with the latest tools and technology.
• **Medical Insurance: **Protect yourself with our comprehensive medical insurance plan.
• **Work Location: **
• Enjoy a hybrid work model with the flexibility to work from home, while spending at least 2 days a week in our vibrant London, King's Cross office.