At a Glance
- Tasks: Lead the development of a cutting-edge Microsoft Fabric platform and guide a talented Data Engineering team.
- Company: Join a dynamic UK organisation committed to innovation and growth.
- Benefits: Enjoy competitive salary, career growth, and the chance to influence technology decisions.
- Other info: Opportunity to work on exciting projects with significant investment in AI and data capabilities.
- Why this job: Shape the future of data, AI, and analytics in a pivotal leadership role.
- Qualifications: Experience with Microsoft Fabric, Azure Data Engineering, and strong leadership skills required.
We are partnering with a large UK organisation that has recently completed a significant investment in its Microsoft Fabric platform and is now entering the next phase of its data transformation journey. Having successfully established the foundations of its enterprise data platform, the business is seeking an experienced Data Platform Lead to take ownership of its future development and strategic direction.
This is a rare opportunity to inherit a modern Microsoft Fabric environment, lead a talented Data Engineering team and play a pivotal role in shaping the organisation’s long-term data, AI and analytics strategy. If you are looking for a role where you can genuinely influence technology decisions—rather than simply executing someone else’s roadmap—this is that opportunity.
Why Join?
This is a dynamic business that is committed to continuous innovation and growth. Over the next 12 to 24 months, you will help drive:
- The ongoing evolution of an enterprise Microsoft Fabric platform.
- Significant investment in AI and modern data capabilities.
- Expansion of data capabilities across multiple business functions.
- Continuous improvement of architecture, governance and engineering standards.
You will have genuine ownership of the platform and the autonomy to influence its development, working closely with senior technology leaders and business stakeholders.
The Role
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.
Key Responsibilities
- 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 practices.
- 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.
What We’re Looking For
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 practices.
- Azure DevOps, CI/CD and engineering governance.
- Leading and developing technical engineering teams.
- Building trusted, scalable cloud-based data platforms.
- 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.
Data Platform Lead in Warrington employer: SF Partners
SF Partners is an exceptional employer, offering a dynamic work environment in Swadlincote, Derbyshire, where innovation and collaboration thrive. With a strong focus on professional development, employees are encouraged to grow their skills and advance their careers while being part of a high-performing team dedicated to driving success. The company values operational excellence and provides a competitive salary, making it an attractive place for those seeking meaningful and rewarding employment.
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We think you need these skills to ace Data Platform Lead in Warrington
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SF Partners. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at SF Partners
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
