Staff Analytics Platform Engineer

• We’re looking for a Staff Analytics Platform Engineer. In this role you will shape the architecture, reliability, and future direction of the analytics platform that powers trusted, high‑quality insight across Our Future Health
• As a Staff Analytics Platform Engineer, you’ll provide technical leadership across the entire analytics platform, from ingestion and transformation tooling to Snowflake architecture, semantic modelling, and secure analytics environments
• You’ll define the patterns, standards, and infrastructure that enable analysts, data scientists, and product teams to build reliable, scalable analytics with confidence. This is a role where your decisions shape the platform for years to come, and your impact multiplies across every team that uses data
• Co‑owning the analytics platform architecture, designing end‑to‑end solutions across Snowflake, ingestion pipelines, dbt infrastructure, semantic layers, and secure analytics environments
• Defining and driving the long‑term technical vision for the analytics platform, ensuring it is scalable, cost‑efficient, secure, and easy for data consumers to use
• Establishing architectural principles and patterns that balance reliability, governance, usability, and performance across the entire data ecosystem
• Leading high‑impact platform initiatives that improve performance, developer experience, cost efficiency, or operational maturity
• Owning and evolving core platform components, including CI/CD, testing strategies, environment management, observability, and infrastructure as code
• Acting as the technical escalation point for complex, cross‑cutting platform issues and guiding teams toward robust, scalable solutions
• Driving Snowflake performance and cost optimisation, informed by real workloads and modelling patterns
• Implementing and maturing data SLAs/SLOs, data observability, lineage, and quality frameworks to ensure trusted analytics at scale
• Collaborating with data product and engineering teams to enable safe, scalable ingestion and well‑defined data contracts
• Influencing how teams design and interact with data systems, raising engineering standards across the organisation
• Providing technical mentorship to analytics engineers and platform engineers, helping elevate capability across the data function

Benefits

• 30 days annual leave plus bank holidays.
• Generous company pension package with employer contributions of up to 12%
• We have a lovely new office in Holborn, Central London and we offer flexible and remote working arrangements.
• We offer all employees a life assurance policy.
• Training support to help you achieve your potential.
• All employees are covered by a group income protection scheme to support them in the event of long term sickness.

• Expertise in analytics data modelling and how modelling choices affect performance, cost, and usability
• Proven technical leadership across infrastructure, ingestion, transformation, and analytics enablement
• Experience supporting secure notebook environments (Coder, Jupyter, RStudio)
• Ability to diagnose complex, cross‑cutting issues across data, infrastructure, and analytical workloads
• A track record of improving developer experience and reducing friction in data development
• Experience with Kubernetes and cloud‑native environments
• Familiarity with semantic layers and BI tooling (e.g. Omni)
• Deep experience building and running modern data platforms in complex, multi‑team environments
• Strong platform architecture experience: Snowflake, dbt execution, semantic layers, secure analytics environments
• Clear, influential communication skills with the ability to align teams around platform strategy
• Excellent Python engineering skills and the ability to design scalable, reliable platform components
• Experience mentoring engineers and raising capability across data and platform teams
• Hands‑on dbt and analytics CI/CD experience
• Knowledge of Terraform, data governance models, and data observability tooling
• Comfort working in regulated environments with strong governance and audit needs
• Hands‑on experience with ingestion/orchestration tooling (e.g. Airbyte) and scaling pipelines across many sources