Data Platform Manager
UK / Remote
Circa £70k per annum + 15% bonus & benefits
Are you ready to take ownership of a data platform and shape how data drives business decisions? This is a rare opportunity to step into a leadership role where you'll combine hands-on data engineering with strategic product management, all while building and mentoring a high-performing team.
You'll play a pivotal role in evolving a modern data platform (Microsoft Fabric / Azure Synapse), ensuring it delivers real business value, scalability, and innovation. If you're passionate about data, leadership, and building robust data solutions-this is one you don't want to miss.
What you'll be doing
Own the end-to-end lifecycle of a core data platform, from design and build through to release, optimisation, and retirement
Collaborate closely with product owners and data scientists to align platform capabilities with business needs
Lead datalake migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning
Provide hands-on data engineering expertise, building and optimising PySpark pipelines
Ensure data is secure, high-quality, accessible, and structured for maximum business value
Drive best practice in data governance, cataloguing, lineage, and standards across the organisation
Promote data re-use and reduce duplication across systems
Oversee ETL processes, data integration, and BI architecture
Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives
Work closely with stakeholders across operations, analytics, and reporting teams
Ensure compliance with data protection regulations and internal policiesWhat you'll bring
Strong hands-on experience in data engineering, including PySpark and production data pipelines
Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS)
Proven ability to design and manage scalable data pipelines, models, and schemas
Solid SQL and relational database expertise
Experience with datalake migration concepts (medallion architecture, incremental loads, backfill, cutover)
Strong understanding of data governance, quality, and lifecycle management
Experience with BI tools such as Power BI or Tableau
Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines)
Strong Python skills and experience with APIs/data integration tools
Understanding of data protection regulations
Leadership experience with the ability to mentor and develop teams
Excellent communication, problem-solving, and stakeholder management skillsDesirable: Experience with project management methodologies, SDLC tools, and awareness of emerging data trends
If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Product Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering.
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