Data Platform Lead
Role details
Job location
Tech stack
Job description
As Data Platform Lead, you will be the technical owner of the organisation's Microsoft Fabric platform, ensuring it remains scalable, secure and fully capable of supporting the business as it continues to grow.
You will lead a small, high-performing team of Data Engineers while maintaining hands-on involvement in architecture, engineering standards and platform strategy.
Working collaboratively across engineering, analytics and the wider business, you will ensure data remains trusted, accessible and ready to support advanced analytics, AI initiatives and future business growth., * Own the technical direction and roadmap for the Microsoft Fabric platform.
- Lead, coach and develop a team of Data Engineers and Data Management specialists.
- Define architecture, engineering standards and platform best practises.
- Drive continuous improvements across data quality, governance and observability.
- Design scalable ingestion, transformation and storage solutions.
- Ensure the platform is optimised for future AI and advanced analytics initiatives.
- Collaborate closely with senior stakeholders to translate business requirements into technical solutions.
- Support integration of new systems and future acquisitions into the enterprise data platform.
- Champion a culture of engineering excellence and continuous improvement., Experience supporting AI initiatives or preparing enterprise data platforms for AI workloads would be highly advantageous. The Opportunity
This is a highly visible leadership role offering the chance to shape the technical direction of an organisation that regards data as a strategic asset.
You will inherit a well-established Microsoft Fabric platform, lead an experienced engineering team and play a central role in the next phase of the company's technology strategy, with significant investment planned across data, AI and digital transformation.
Requirements
We seek a candidate who combines deep technical expertise with strong leadership and architectural insight.
Ideally, you will have experience in:
- Microsoft Fabric within an enterprise environment.
- Azure Data Engineering, including Azure Data Factory, Synapse and Lakehouse architecture.
- SQL, Python and PySpark.
- Enterprise data platform architecture and design.
- Medallion Architecture and modern data engineering best practises.
- Azure DevOps, CI/CD and engineering governance.
- Leading and developing technical engineering teams.
- Building trusted, scalable cloud-based data platforms.