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
Who we are:
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing [email protected].
Job: Data Engineering
Job Family: TECHNOLOGY
Organization: OCTO
Schedule: FULL_TIME
Workplace Type: Hybrid
Req ID: 24178
