- Accenture
- Singapore,
- Full-Time
- 2 days ago
Big Data Platform Architect – AI & Data Infrastructure Lead: our view in 3 lines...
- The Role: A senior platform architect role for designing and operating enterprise data and AI infrastructure on Red Hat OpenShift and related tooling.
- The Person: Own and operate the enterprise data platform on OpenShift, ensure stability and performance, build CI/CD via GitLab, lead a technical team, and integrate observability and streaming solutions.
- Requirements: Requires Red Hat OpenShift, Red Hat Enterprise Linux (RHEL), Elastic (ELK Stack), Tableau, GitLab, and Confluent (Apache Kafka).
Job Description
About the Role
A seasoned infrastructure and platform engineering professional with comprehensive expertise across containerization, enterprise Linux, and modern data technologies. Brings deep hands-on experience with Red Hat OpenShift, architecting and operating containerized platforms that power mission-critical enterprise applications including Cloud Pak for Data and H2O.ai — ensuring reliability, scalability, and performance across complex production environments. Backed by strong Red Hat Enterprise Linux (RHEL) proficiency, this professional is well-equipped to manage the full lifecycle of enterprise infrastructure, from provisioning and hardening to patching, performance tuning, and incident resolution.
Beyond infrastructure, brings significant capability in data observability and streaming — leveraging the Elastic Stack to deliver centralized logging, real-time monitoring, and proactive alerting, while using Confluent/Kafka to architect event-driven data pipelines that support high-throughput, low-latency data flows across distributed systems. Proficiency in Tableau further enables the translation of operational and business data into clear, decision-ready dashboards for both technical and executive audiences.
On the DevOps and delivery side, experienced with GitLab for end-to-end CI/CD pipeline management, source control governance, and release automation — driving consistent, repeatable deployment practices across teams. Equally capable of managing day-to-day platform operations — overseeing system health, incident management, capacity planning, and SLA adherence — while providing technical leadership and mentorship to engineering teams as needed.
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:
Top 3 Core skills
1.Red Hat OpenShift – Deploy, manage, and maintain containerized environments, supporting enterprise applications such as Cloud Pak for Data and H2O.ai on OpenShift clusters.
2.Red Hat Enterprise Linux (RHEL) – Administer, configure, patch, and troubleshoot production RHEL systems underpinning containerized and enterprise workloads.
3.Elastic (ELK Stack) – Configure and manage Elastic Stack for log aggregation, observability, and monitoring, including indices, dashboards, and alerting pipelines.
Good to have:
1.Tableau – Build interactive dashboards and visualizations that translate complex datasets into actionable business insights.
2. GitLab – Manage source control, CI/CD pipelines, and DevOps workflows including branching strategies and automated build/test/deploy processes.
3. Confluent (Apache Kafka) – Design and maintain real-time data streaming pipelines using Confluent Platform, including topic management, connectors, and schema registry.
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 www.accenture.com
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