Data Solutions Lead

Description:

Data Solutions Lead – Data & Analytics

Reading – Once a week in the office

I’m currently working with a fast-growing data and technology consultancy who are looking to hire a Data Solutions Lead to join their expanding team in Reading. The business work across multiple industries including from telecoms to finance to healthcare, where they build products and solutions geared towards supporting their global client base with their data processes.

As a Data Solutions Lead, you will lead many data transformation projects, leading the process from design to build. You’ll steer the teams, define the roadmap, make critical decisions within the senior team and work closely with stakeholders to deliver to their expectations.

Many of the core projects are healthcare/NHS based so they are looking for people with current or previous experience in a similar environment with this.

The role is based in Reading and require office working of 1 day a week.

Key Responsibilities

• Define and communicate solution architecture and technical vision
• Lead end-to-end solution design from discovery through to delivery
• Act as the design authority, making key technical decisions
• Guide engineering and analytics teams to deliver scalable, high-quality solutions
• Develop reusable solution patterns, frameworks and architectural standards
• Ensure solutions meet performance, scalability, security and governance requirements
• Work closely with senior stakeholders to align technical solutions with business goals

Experience Required

• 5+ years’ experience in Data Engineering, Data Architecture or similar
• Strong experience with modern data platforms (Databricks, Snowflake, Azure, GCP)
• Proven experience designing Data Lakehouse architectures (e.g. Medallion)
• Current or previous experience working within Healthcare or NHS sector.
• Strong SQL and Python skills with experience in Spark / DBT
• Deep understanding of data modelling, DataOps, CI/CD and infrastructure as code
• Strong stakeholder management and client-facing experience
• Proven track record leading data transformation programmes
• Ability to communicate complex technical concepts to non-technical audiences

Nice to Have

• Experience across multiple data disciplines (engineering, analytics, governance, visualisation)
• Background in consulting or professional services
• Exposure to Delivery Lead or Client Lead responsibilities