Hybrid Enterprise Architect – Scientific Compute

at Ellison Institute of Technology Oxford

• Job title: Enterprise Architect – Scientific Compute
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Oracle
• Location requirements: Hybrid, Oxford, United Kingdom

About the role

• Enterprise Architect leading architecture for large-scale scientific computing at EIT. Owning and evolving architecture across distributed computing environments for scientific research fields.

Responsibilities

• **Your Responsibilities:**
• __Enterprise Architecture Ownership__
• Collaborate with research group technical leadership to continuously evolve the enterprise architecture for large-scale scientific compute environments hosted on Oracle Cloud Infrastructure.
• Define target-state architectures that enables EIT’s institutes to do their best work, balancing standardisation, flexibility, scalability, performance, resilience, and security across heterogeneous scientific workloads.
• Translate organisational strategy and scientific priorities into coherent architectural roadmaps.
• __Collaboration & Influence__
• Act as a trusted partner to scientific compute business unit leads, engaging deeply with their priorities, constraints, and roadmaps.
• Lead through influence rather than mandate, bringing stakeholders along a shared journey toward standardisation and architectural maturity.
• Balance competing demands across disciplines while maintaining a coherent enterprise-wide operating model.
• __Architecture Governance__
• Own and chair the Architecture Review Board (ARB), defining its remit, processes, and decision-making frameworks.
• Ensure architectural decisions are transparent, pragmatic, and aligned to enterprise standards without becoming a bottleneck to innovation.
• Define principles, standards, and reference architectures, with clear guidance on when and how deviations are acceptable.
• __Data & Storage Architecture__
• Work closely with the Data Architect to define and own data and storage architecture standards across the scientific compute environment.
• Collaborate with data leaders to maintain comprehensive data classification models, ensuring alignment with security, compliance, performance, and cost requirements.
• Guide architectural decisions around data lifecycle management, tiering, sovereignty, and cross-region access patterns.
• __DevOps & Platform Standards__
• Drive the standardisation of DevOps and platform engineering practices, promoting automation, repeatability, and reliability at scale.
• Work closely with engineering teams to define best-practice CI/CD, infrastructure-as-code, observability, and operational models that enable institutes to operate at their best.
• Ensure standards are practical, adopted, and continuously improved rather than theoretical.
• ____
• __Large-Scale Scientific Compute__
• Architect and govern the centralised standards and processes that enable multi-region GPU and CPU estates that support diverse scientific disciplines and compute patterns (e.g. HPC, AI/ML, simulation, data-intensive research).
• Ensure architectural consistency while accommodating domain-specific requirements and rapidly evolving research needs.
• Drive best practices for workload placement, resource optimisation, and cross-region compute orchestration within OCI.

Requirements

• **Essential Skills, Qualifications & Experience:**
• Extensive, demonstrable experience as an Enterprise Architect owning architecture for large, complex, compute-intensive environments.
• Deep hands-on experience designing and operating architectures within tier one cloud infrastructure providers, particularly at scale.
• Proven track record working with GPU and CPU-heavy scientific or research workloads across multiple regions.
• Strong experience defining and governing enterprise architecture standards, principles, and review processes.
• Expertise in data architecture, storage platforms, and data classification models in large, distributed environments.
• Significant experience influencing senior technical and scientific stakeholders in matrixed organisations.
• **Desirable Knowledge, Skills and Experience:**
• Background in scientific research, HPC, AI/ML platforms, or data-intensive research environments.
• Experience modernising or standardising architectures across previously federated or decentralised teams.
• Strong understanding of cost management and optimisation for large-scale cloud compute environments.
• Experience working within Oracle Cloud Infrastructure at an enterprise scale.

Benefits

• **Our Benefits:**
• Competitive salary + travel allowance + bonus
• Enhanced holiday + options to buy additional days
• Pension
• Life Assurance
• Income Protection
• Private Medical Insurance
• Hospital Cash Plan
• Therapy Services
• Perk Box
• Electric Car Scheme
• Childcare benefit