Overview:
Arm is seeking a Data Engineering Platform lead within the Productivity Engineering organisation. You will enable the evolution of our engineering data ecosystem, defining the technical design, architecture, and delivery of data capabilities at Arm!
Responsibilities:
- Lead the design and implementation of scalable, observable, and cost-optimised data infrastructure and services.
- Define and deliver the data platform strategy and roadmaps supporting engineering requirements and initiatives.
- Establish data governance, metadata management, and quality standards to ensure consistency and trust across engineering data.
- Partner with Platforms, Enterprise IT, and Engineering to integrate data systems with compute and engineering workflows.
- Build, mentor, and scale a high-performing team of engineers and managers, fostering ownership, innovation, and delivery excellence.
- Serve as a technical leader, influencing architecture and methodology across engineering and infrastructure domains.
Required Skills and Experience:
- Proven industry experience building and supporting large-scale distributed systems.
- Deep technical understanding of software and data pipelines, lifecycle management, including ingestion, transformation, cataloguing, and quality.
- Hands-on experience with cloud architecture of distributed systems (preferably AWS, Azure/GCP desirable), Apache Spark, Kafka, Kubernetes, Terraform, and modern orchestration frameworks.
- Building high-performing teams, coaching and mentoring technical leaders, developing technical managers and senior individual contributors, and managing performance.
- Excellent communication, cross-organisational teamwork and influencing skills.
- Ability to adapt in a fast-paced environment.
- Delivering measurable and meaningful business impact, engineering excellence and reliability.
“Nice To Have”:
- Experience in hybrid cloud and on-prem HPC environments, supporting engineering or compute-intensive workloads.
- Familiarity with FinOps practices and cost optimisation of large-scale infrastructure deployments.
- Expertise in data security, compliance, and lineage frameworks in enterprises.
In Return:
You will shape how data fuels innovation at the heart of Arm’s engineering ecosystem! This role offers the opportunity to define modern data foundations that underpin productivity, scalability, and insight across every part of Arm
#LI-ZN1
Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working at Arm
Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.