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Carnall Farrar

Lead Data Platform Engineer

Data EngineeringPosted on Nov 9
Full-timeLondon, UKNo salary listedHybrid

About the Job

Requirements

  • Around 4 years of experience in data or platform engineering, preferably including senior or lead responsibility for a production data platform.
  • Deep expertise in cloud platform design and secure data architecture, including identity and access management, network design, and access control; Databricks and OCI, or comparable platforms.
  • Strong Python and SQL, and experience building and monitoring production pipelines using PySpark or Spark.
  • Experience with infrastructure as code, CI/CD, and a Git and GitHub workflow.
  • A track record of setting engineering standards and design patterns, conducting architectural review, and producing design documentation that others build from.
  • Experience owning delivery of technical workstreams, including technical workplanning, capacity management, QA, and early escalation of risk.
  • Experience mentoring or managing engineers, including objective setting and development.
  • Experience designing to regulated data requirements such as NHS IG, ISO 27001, and GDPR, or comparable frameworks.
  • Ability to explain design decisions and trade-offs to technical and non-technical audiences.
  • Comfort acting as the technical authority for platform and infrastructure decisions and as the engineering team's reference point.
  • Confidence in commercial and partner-facing technical discussions, including vendor conversations and the technical sections of proposals.

Responsibilities

  • Produce detailed technical designs for CF’s cloud infrastructure (OCI, Databricks) and NHS data pipelines, working within the strategic architecture set by the Director.
  • Define integration patterns, data flow designs, and component specifications for the data engineering team to implement.
  • Make implementation-level technology decisions on tooling, frameworks, and configuration approaches within the Director’s strategic technology selections.
  • Design scalable, secure platform architectures that support CF’s multi-region operations (UK, Middle East, EU) and comply with NHS IG, ISO 27001, and GDPR requirements.
  • Own and maintain platform design documentation, reference architectures, and decision records.
  • Evaluate emerging platform technologies and make recommendations to the Director on adoption, supported by technical assessment.
  • Own day-to-day delivery management of platform and data engineering workstreams in line with the unified function’s strategy and priorities.
  • Develop and maintain technical workplans for platform initiatives, coordinating with the Director and Lead Data Scientist(s) on sequencing and dependencies.
  • Manage the data engineering team’s capacity across concurrent workstreams, balancing platform development, Data Operations support, and client delivery contributions.
  • Coordinate QA and testing for platform components, ensuring work meets quality standards before release.
  • Identify and escalate delivery risks, resource constraints, and scope changes to the Director with sufficient lead time.
  • Ensure platform workstreams are delivered to agreed timelines and within resource constraints.
  • Define and maintain engineering standards, design patterns, and reference implementations for the data platform.
  • Conduct architectural review of platform changes before development, ensuring design coherence and technical soundness.
  • Contribute to the build quality assurance process for platform components, embedding quality gates in delivery.
  • Design the security architecture for platform components in line with the Director’s IG framework and ISO 27001 requirements.
  • Identify and communicate technical risks and architectural trade-offs, with clear recommendations.
  • Provide technical expertise to support partnership opportunities with platform vendors such as Databricks, contributing design knowledge and technical credibility to commercial discussions led by the Director and Partners.
  • Support the Director in technical discussions with data and research organisations where platform architecture or data infrastructure expertise is required.
  • Contribute to technical sections of proposals and client-facing materials where platform architecture, infrastructure design, or data engineering capability is relevant.
  • Develop an understanding of CF’s growth ambitions and the data platform’s role in enabling them.
  • Ensure external stakeholder contact with technology partners, data organisations, and potential recruits supports the CF brand and aligns with CF values.
  • Work closely with the Lead Data Scientist(s) to ensure the platform and infrastructure serve client-facing data science delivery.
  • Advise data scientists, consulting teams, and Data Operations colleagues on platform capabilities, constraints, and best-practice usage.
  • Provide technical input to the Director on infrastructure implications of new data products, client requirements, and commercial initiatives.
  • Mentor and help scope and support the work of data engineers within the Data Operations team, including objective setting, input on performance and development, and technical day-to-day support.
  • Act as a technical reference point for the engineering team on platform architecture, cloud infrastructure, and system design.
  • Develop and deliver internal learning content on platform architecture, design patterns, and infrastructure best practice.
  • Mentor engineers on architectural thinking, helping the team develop design capability over time.
  • Support the Director in defining the technical career track and progression requirements for data engineering roles.
  • Contribute to CF’s technical learning programme as faculty where platform and infrastructure topics are relevant.

Desired Qualifications

  • Experience with NHS or other routine healthcare data at patient level.
  • Experience with Unity Catalog, Delta Lake, and medallion structure (bronze to silver to gold).
  • Exposure to dbt and dimensional modelling.
  • Experience contributing to vendor or partner relationships, such as with Databricks.
  • Experience designing for multi-region operations (UK, Middle East, EU).

About the Company

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