Data Platform Manager: Lead Medallion Architecture (Hybrid)

Qurated; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Qurated in London seeks a Data Platform Manager to lead the data platform team and architect the next generation data platform. You will combine leadership with hands-on delivery to build scalable, governed data foundations supporting BI, analytics engineering, data science and AI across the business.

Hybrid role based in London, with collaboration across governance, catalogue and master data teams to ensure trusted outputs and ongoing platform improvement.

Qualifications

• Proven experience leading Data Engineering, Analytics Engineering or modern data platform teams.
• Experience with data warehouse, lakehouse or medallion architecture patterns.
• Strong SQL, data ingestion, transformation, orchestration skills.
• Experience working with senior stakeholders, Enterprise Architecture and governance functions.
• Bonus: experience with Microsoft Fabric, Databricks or Azure Synapse.

Responsibilities

• Leading a cross functional team spanning Data Engineering and Analytics Engineering.
• Implementing a medallion architecture that supports trusted, reusable and well governed data assets.
• Overseeing ingestion, transformation, orchestration, modelling and lifecycle management across the data platform.
• Establishing strong engineering practices for version control, automated testing, deployment and operational support.
• Owning delivery planning, technical prioritisation and continuous improvement of the platform.
• Partnering with governance, catalogue and master data teams to ensure platform outputs are trusted and usable.

Skills

Data platform leadership

SQL-based development

Medallion architecture

Stakeholder management

Engineering best practices

Tools

Microsoft Fabric

Databricks

Azure Synapse

Job description

Qurated in London seeks a Data Platform Manager to lead the data platform team and architect the next generation data platform. You will combine leadership with hands-on delivery to build scalable, governed data foundations supporting BI, analytics engineering, data science and AI across the business.

Hybrid role based in London, with collaboration across governance, catalogue and master data teams to ensure trusted outputs and ongoing platform improvement.