Role Overview

We are looking for a Data Platform Reliability Engineer to ensure the reliability, scalability, and performance of our enterprise data platform. This role blends Site Reliability Engineering (SRE) and DevOps practices to support modern cloud-based data ecosystems built on Google BigQuery, lakehouse architectures, and distributed data pipelines.

You will play a key role in building highly resilient, governable, observable, and cost-efficient data platforms, while enabling engineering teams to operate at scale with automation and best practices.

Key Responsibilities

• Automate infrastructure provisioning and operations using Infrastructure as Code (IaC)
• Implement and manage CI/CD pipelines for data and platform deployments
• Implement and manage Data Governance tools such as Collibra
• Improve system resilience through capacity planning, performance tuning, and fault tolerance design
• Optimize cloud usage and costs through FinOps best practices
• Collaborate with engineering and analytics teams to improve platform reliability and developer experience
• Drive security, compliance, and access control best practices
• Own platform reliability and availability for enterprise data systems (SLAs, SLOs, error budgets)
• Monitor and manage data cloud infrastructure, ingestion frameworks, and transformation workflows
• Lead incident management, root cause analysis (RCA), and postmortems

Required Skills & Experience

• 3–5 years of experience in SRE, DevOps, or platform engineering roles
• Strong experience with cloud platforms (GCP preferred; AWS/Azure is a plus)
• Experience with CI/CD tools (GitHub Actions, Jenkins, etc.)
• Proficiency in Python, Bash, and SQL
• Experience with Infrastructure as Code tools (Terraform preferred)
• Strong understanding of monitoring and observability tools (logs, metrics, tracing)
• Experience managing production incidents and on-call rotations
• Exposure to Kubernetes / containerization
• Understanding of data governance and security practices
• Exposure to AI/ML or GenAI tools for automation and operational efficiency

Preferred Skills

• Experience with data observability tools/frameworks
• Knowledge of Collibra or similar Data Governance tools
• Knowledge of Looker / Tableau / Power BI or similar BI tools
• Understanding of cost optimization (FinOps) in cloud data platforms

What You Will Bring

• Strong ownership mindset and bias for automation
• Ability to troubleshoot complex distributed systems under pressure
• Passion for improving system reliability and performance at scale
• Excellent collaboration and communication skills
• Willingness to participate in a 24/7 support/on-call rotation

Why Join Us

• Build and scale next-gen cloud data platforms powering enterprise-wide analytics
• Join Pearson, a global leader transforming lives through learning and innovation
• Work hands-on with GenAI, AI-powered data engineering, and intelligent automation
• Shape the future of self-service data, data products, and observability at scale
• Collaborate with high-performing global teams solving real-world, high-impact problems

• Accelerate your career in a fast-evolving, innovation-driven data ecosystem

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