Data Platform Engineering Lead: Scale, Governance & Impact

Arm Limited; Cambridge; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading technology company in Cambridge is seeking a Data Engineering Platform lead to shape the evolution of its engineering data ecosystem. This role involves leading the design and implementation of a scalable data infrastructure, establishing data governance, and mentoring a high-performing team. Ideal candidates will have a strong background in distributed systems, cloud architecture, and leadership skills. The position offers hybrid working opportunities and contributes to innovative data solutions across the organization.

Qualifications

• Proven industry experience building large-scale distributed systems.
• Deep technical understanding of software and data pipelines.
• Hands-on experience with cloud architecture.
• Experience in coaching and mentoring technical leaders.
• Excellent communication and teamwork skills.
• Ability to adapt in a fast-paced environment.

Responsibilities

• Lead design and implementation of data infrastructure.
• Define and deliver data platform strategy and roadmaps.
• Establish data governance and quality standards.
• Partner with multiple teams to integrate data systems.
• Build and mentor a high-performing team of engineers.
• Serve as a technical leader across domains.

Skills

Building and supporting large-scale distributed systems

Software and data pipelines lifecycle management

Cloud architecture (AWS, Azure/GCP)

Apache Spark

Kafka

Kubernetes

Terraform

Communication skills

Adaptability

Team management

Job description

A leading technology company in Cambridge is seeking a Data Engineering Platform lead to shape the evolution of its engineering data ecosystem. This role involves leading the design and implementation of a scalable data infrastructure, establishing data governance, and mentoring a high-performing team. Ideal candidates will have a strong background in distributed systems, cloud architecture, and leadership skills. The position offers hybrid working opportunities and contributes to innovative data solutions across the organization.