Senior Director of Platform & Data Engineering

New
K
KeyloopAutomotive retail software
Listing location: UK (Reading); Workplace type: RemoteFull-TimeDirector
Salary not disclosed
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Job Details

Required Skills
AWSKafkaKubernetesSnowflakeTerraformDatabricksMLOps

Requirements

  • Deep experience in cloud-native platform engineering on AWS.
  • Experience with infrastructure as code using Terraform or Pulumi, containerisation using Kubernetes or ECS, Kafka, and API gateway patterns.
  • Track record designing and operating shared platform services in a complex, multi-product enterprise SaaS environment.
  • Hands-on data platform engineering background, including data lake architecture and ELT pipelines; familiarity with Snowflake, Databricks, and AWS Athena, Glue, and EMR.
  • Experience building AI/ML infrastructure, including feature stores, model serving, MLOps pipelines, and LLM-enabling platform capabilities.
  • Strong understanding of OpenTelemetry, distributed tracing, SLO/error budget frameworks, and production reliability engineering.
  • Hands-on experience with enterprise security practices, ISO 27001, SOC 2, and zero-trust architecture patterns.
  • Extensive engineering leadership experience building and developing distributed teams of 60+ people.
  • Experience leading M&A technical integration and platform standardisation across acquired codebases and teams.
  • Familiarity with SAFe, Shape Up, or equivalent delivery frameworks, and strong FinOps capability.
  • Practical experience adopting and scaling AI-native development tools such as GitHub Copilot, Claude Code, or Cursor.

Responsibilities

  • Lead and develop a distributed team of platform and data engineers, and shape the platform function's organisational structure.
  • Set platform strategy and co-own the multi-year engineering roadmap with the Platform Product Leader.
  • Evolve shared services, the API gateway, integration layer, and internal developer platform across product lines.
  • Drive cloud-native architecture using AWS and infrastructure-as-code practices.
  • Architect integration capabilities for acquired businesses and maintain shared identity, authentication, multi-tenancy, and data residency capabilities.
  • Lead delivery of the data platform, including data lakes, pipelines, analytical infrastructure, and AI/ML workloads.
  • Define the strategy and toolchains for an agentic software development lifecycle and build supporting platform capabilities.
  • Establish platform observability standards and oversee delivery, reliability, security, and cloud cost governance.
  • Partner with executive, engineering, product, data science, and infrastructure leaders on platform priorities.
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