Data Platform Leader - AI-Driven, Scalable Data Warehouses

Stanton House; Cambridgeshire and Peterborough; Hybrid; GBP 85,000 - 100,000; Full time

Job summary

Stanton House is partnering with a private equity-backed business undergoing a significant transformation programme to appoint a Data Platform Manager to lead the evolution of its enterprise data platform.

This hands-on leadership role covers architecture, data ingestion, orchestration, warehousing and transformation, with responsibility for scalable, secure and cost-effective solutions, and mentoring a high-performing data engineering team.

Qualifications

• Strong hands-on experience building and operating enterprise-scale cloud data platforms.
• Expertise in cloud data warehousing, data modelling, governance and cost management.
• Advanced SQL and Python with strong software engineering practices.
• Experience with modern data transformation frameworks, analytics engineering and workflow orchestration tools.
• Proven track record delivering CI/CD capabilities for data and analytics platforms.
• Experience adopting AI tools within software or data engineering environments.
• Previous people leadership experience, including coaching, performance management and team development.
• Experience managing or quality-assuring delivery from third-party partners or consultancies.
• Strong stakeholder management skills with the ability to translate business requirements into scalable technical solutions.
• Excellent communication skills, with experience engaging both technical and non-technical audiences.

Responsibilities

• Lead, mentor and develop a team of Data Engineers, managing priorities, workloads and sprint delivery.
• Provide hands-on technical leadership and establish engineering best practices.
• Support recruitment, onboarding, performance management and career development.
• Foster a culture of collaboration, continuous improvement, knowledge sharing and code quality.
• Champion the effective and responsible use of AI-assisted development tools.
• Own the architecture, roadmap and ongoing development of the enterprise data platform.
• Design and deliver scalable data warehouses, pipelines and data products.
• Establish standards for data modelling, testing, documentation, deployment and monitoring.
• Lead CI/CD processes, automated testing and release management.
• Provide code reviews and architectural guidance to ensure engineering excellence.
• Integrate new data sources using API, event-driven and file-based ingestion methods.
• Partner with analytics and BI teams to deliver reliable and trusted data assets.
• Drive the adoption of AI tools and coding assistants within the data engineering function.
• Leverage AI to improve development efficiency, testing, documentation and code quality.
• Establish governance frameworks covering responsible AI use, security and data protection.
• Evaluate emerging technologies and identify opportunities to enhance platform capabilities.

Job description

Stanton House is partnering with a private equity-backed business undergoing a significant transformation programme to appoint a Data Platform Manager to lead the evolution of its enterprise data platform.

This hands-on leadership role covers architecture, data ingestion, orchestration, warehousing and transformation, with responsibility for scalable, secure and cost-effective solutions, and mentoring a high-performing data engineering team.