About this role
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 #LI-P1