Technical Lead – Datacore

RSM UK; Manchester; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Hybrid and Flexible working

26 Days Holiday

Financial wellbeing benefits

Access to courses

Job summary

RSM UK is searching for a Technical Lead to join their Data, Analytics & AI team in Manchester. This role focuses on providing technical leadership for the Datacore platform, ensuring teams can adopt it efficiently and securely.

The ideal candidate will possess strong cloud data engineering expertise and the ability to lead and enable teams to build scalable and auditable data products. Benefits include hybrid working, 26 days holiday, and access to wellness programs.

Qualifications

• Significant experience in cloud data engineering, data platform delivery or data product implementation within an enterprise environment.
• Strong practical understanding of Microsoft Fabric, Azure Databricks, Azure data services or equivalent cloud data platform technologies.
• Hands-on technical credibility in relevant data engineering technologies such as SQL, Python, Spark, orchestration tools.

Responsibilities

• Providing technical leadership for the design and delivery of Datacore platform capabilities.
• Supporting client-facing teams in adopting Datacore safely and consistently.
• Defining reusable implementation patterns for common Datacore use cases.

Skills

Cloud data engineering

Microsoft Fabric

Azure Databricks

SQL

Python

Spark

APIs

Job description

Preston, Lancashire, United Kingdom

Technical Lead – Datacore

We are searching for an experienced Technical Lead to join our Data, Analytics & AI team within a professional services environment. The successful candidate will provide technical leadership for the design and delivery of capabilities supporting the firm’s cloud data platform, Datacore.

Operating across Microsoft Fabric, Azure Databricks and wider Azure services, the role will help federated and client-facing teams adopt Datacore safely, consistently and effectively. The Technical Lead will work closely with data architects, platform teams, and delivery teams to translate architectural principles into platform capabilities, implementation patterns, reusable technical standards and utilise Datacore.

The role requires strong cloud data engineering expertise, practical delivery leadership and the ability to enable teams across the firm. It will help ensure that client teams can build scalable, secure, observable and auditable data products, while driving platform evolution through reusable patterns, technical innovation, efficiency improvements, and catalogued approaches for wider adoption.

Responsibilities

• Providing technical leadership for the design and delivery of Datacore platform capabilities, cloud data services and reusable engineering patterns
• Supporting client-facing teams in adopting Datacore safely and consistently across their development of new data products and services
• Defining reusable implementation patterns for common Datacore use cases, including ingestion, medallion architecture, data quality, orchestration, semantic modelling and publication
• Defining and promoting controlled engineering practices across Datacore assets, including source control, development, testing, deployment, validation and support
• Identifying opportunities to improve Datacore capability, efficiency, lineage, discovery, automation, observability, and cost effectiveness
• Working closely with data architects, technical teams, business partners, and internal stakeholders to align technical delivery with business priorities

Qualifications

• Significant experience in cloud data engineering, data platform delivery or data product implementation within an enterprise environment
• Strong practical understanding of Microsoft Fabric, Azure Databricks, Azure data services or equivalent cloud data platform technologies
• Proven ability to translate architectural principles into implementation patterns, technical standards and development work packages
• Experience designing and delivering scalable, secure and supportable data products or cloud data services
• Strong understanding of lakehouse architecture, medallion patterns, data ingestion, transformation, orchestration and data publication
• Experience supporting federated or distributed delivery teams through technical guidance, design review, enablement and reusable delivery patterns
• Strong communication skills, with the ability to explain technical decisions, risks and trade-offs to technical and non-technical stakeholders
• Hands‑on technical credibility in relevant data engineering technologies such as SQL, Python, Spark, notebooks, orchestration tools, APIs and cloud data platforms

Benefits

• Hybrid and Flexible working
• 26 Days Holiday (with the option of purchasing additional days)
• Lifestyle, Health, and Wellbeing including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP.
• Access to a suite of 300+ courses on demand developed by our inhouse Talent Development team.