Senior Data Platform Manager

Nigel Frank

Greater London

On-site

GBP 60,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Hybrid working
Performance bonus
Training & certification support

Job summary

Nigel Frank is seeking a Senior Data Platform Manager to lead the delivery, optimization and evolution of a cloud-based data platform in London. The role requires guiding enterprise-scale initiatives across data, cloud, integration and DevOps while managing high-performing technical teams and engaging with senior stakeholders.

Responsibilities include governance, standards, reliability and continuous improvement, with mentoring for engineers and close collaboration with architecture and business

Qualifications

  • Experience leading Data Platform, Cloud, Integration or Platform Engineering teams.
  • Deep knowledge of modern data platform technologies (Snowflake and/or Kafka).
  • Experience with Azure, AWS or GCP cloud services.
  • Strong Kubernetes and containerised platform understanding.
  • Experience with CI/CD pipelines and Git-based source control.
  • Understanding of platform governance and security best practices.
  • Experience managing enterprise-scale production environments.
  • Strong stakeholder engagement and leadership skills.
  • Experience working in Agile environments.

Responsibilities

  • Lead platform delivery, operations and service management.
  • Drive platform modernisation, automation and scalability initiatives.
  • Establish governance, engineering standards and best practices.
  • Ensure platform reliability, performance and operational excellence.
  • Manage incidents, risks and dependencies across platforms.
  • Lead Agile delivery across multiple workstreams.
  • Drive monitoring, observability and continuous improvement.
  • Provide technical leadership across data, cloud and platform technologies.
  • Mentor engineers and technical leads.
  • Collaborate with architecture, engineering and business stakeholders.

Skills

Data Platform Leadership
Snowflake/Kafka
Cloud Platforms (Azure/AWS/GCP)
Kubernetes
CI/CD & Git
Governance & Security
Production Environments
Stakeholder Leadership
Agile

Job description

Senior Data Platform Manager - London (Hybrid) - Up to £100,000

A leading organisation is seeking an experienced Senior Data Platform Manager to lead the delivery, optimisation and ongoing evolution of its cloud-based data platform ecosystem.

This is an excellent opportunity to lead enterprise-scale platform initiatives spanning cloud, data, integration and DevOps technologies while managing high-performing technical teams and engaging with senior business stakeholders.

The Role
  • Leading platform delivery, operations and service management
  • Driving platform modernisation, automation and scalability initiatives
  • Establishing governance, engineering standards and best practices
  • Ensuring platform reliability, performance and operational excellence
  • Managing critical incidents, risks and technical dependencies
  • Leading Agile delivery across multiple workstreams
  • Driving monitoring, observability and continuous improvement initiatives
  • Providing technical leadership across data, cloud and platform technologies
  • Mentoring engineers and technical leads
  • Working closely with architecture, engineering and business stakeholders
Key Skills & Experience
  • Experience leading Data Platform, Cloud, Integration or Platform Engineering teams
  • Strong experience with modern data platform technologies, including Snowflake and/or Kafka.
  • Experience with Azure, AWS or GCP
  • Good knowledge of Kubernetes and containerised platforms
  • Experience with CI/CD pipelines, Git-based source control and automation
  • Understanding of platform governance, security and operational best practices
  • Experience managing enterprise-scale production environments
  • Strong stakeholder engagement and leadership skills
  • Experience working in Agile environments
What's on Offer?
  • Salary up to £100,000
  • Performance bonus
  • Hybrid working
  • Excellent career development opportunities
  • Exposure to large-scale cloud and data transformation programmes
  • Collaborative and technology-driven environment
  • Ongoing training and certification support
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