Staff Analytics Platform Engineer
- 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.
Working in a siloed environment with no freedom to make decisions.
Working in a place where you can’t see the impact your expertise makes. Requirements
- Deep experience building and running modern data platforms in complex, multi‑team environments.
- Excellent Python engineering skills and the ability to design scalable, reliable platform components.
- Expertise in analytics data modelling and how modelling choices affect performance, cost, and usability.
- Hands‑on experience with ingestion/orchestration tooling (e.g. Airbyte) and scaling pipelines across many sources.
- Proven technical leadership across infrastructure, ingestion, transformation, and analytics enablement.
- Strong platform architecture experience: Snowflake, dbt execution, semantic layers, secure analytics environments.
- 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.
- Clear, influential communication skills with the ability to align teams around platform strategy.
- Experience mentoring engineers and raising capability across data and platform teams.
- Hands‑on dbt and analytics CI/CD experience.
- Experience with Kubernetes and cloud‑native environments.
- Familiarity with semantic layers and BI tooling (e.g. Omni).
- Experience supporting secure notebook environments (Coder, Jupyter, RStudio).
- Comfort working in regulated environments with strong governance and audit needs.
- Knowledge of Terraform, data governance models, and data observability tooling.
- Salary from £95,000 per annum.
- Generous Pension Scheme – We invest in your future with employer contributions of up to 12%.
- 30 Days Holiday + Bank Holidays – Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you.
- Enhanced Parental Leave – Supporting you during life’s biggest moments.
- Cycle to Work Scheme – Save 25-39% on a new bike and accessories through salary sacrifice.
- Home & Tech Savings – Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice
- £1,000 Employee Referral Bonus – Know someone amazing? Get rewarded for bringing them on board!
- Wellbeing Support – Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family.
- A Great Place to Work – We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements.
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