About the Role

This is a hands-on technical leadership role at the heart of our Data & AI delivery practice. As a Big Data Platform Architect, you will be the backbone of enterprise-scale data platforms - ensuring the infrastructure that powers AI models, data pipelines, and analytics tools is stable, scalable, and production-ready.

You will work embedded within client engagements, owning the platform layer that everything else runs on - from AI/ML workloads to data visualisation. If you're the kind of engineer who takes pride in knowing that, this role is built for you.

What You'll Be Doing

Own the platform.Design, build, and maintain enterprise data infrastructure on Red Hat OpenShift - the foundation that tools like Cloud Pak for Data and H2O run on top of.
Keep the lights on and scale up.Ensure platform stability, security, and performance as workloads and teams grow. When something breaks, you're the person who knows exactly why.
Automate everything.Build and manage CI/CD pipelines via GitLab so that code changes, deployments, and configurations are tested and released reliably without manual intervention.
Lead a technical team.Guide and support a team of engineers, making architectural decisions and setting standards for how the platform is built and operated.
Bridge the gap.Translate complex infrastructure decisions into clear language for client stakeholders, project managers, and non-technical teams.
Integrate and evolve.Onboard new tools and technologies into the platform ecosystem - including data virtualization, search, and visualization layers - as client needs grow.

Must-have:

Strong hands-on experience withRed Hat OpenShift- administration, deployment, and troubleshooting at enterprise scale
Solid working knowledge ofRHEL (Red Hat Enterprise Linux)- you understand what sits beneath the container layer
Experience managingCI/CD pipelines(GitLab preferred) - you've built or maintained automated deployment workflows
Ability to lead technical teams and communicate clearly with both engineers and business stakeholders
Comfortable working in a client-facing consulting environment

Good to have:

Experience withIBM Cloud Pak for Dataor similar enterprise data platforms
Familiarity withTableauor other data visualisation tools
Exposure toDenodo, ElasticSearch, or Quantexa
Cloud infrastructure knowledge (AWS, Azure, or GCP)

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status,militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected byapplicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Big Data Platform Architect – AI & Data Infrastructure Lead