Data Platform Reliability Engineer 3
Pearson
Data Platform Reliability Engineer 3
Pearson
Makes learning tools and runs certification exams
Role Overview
We are looking for a Data Platform Reliability Engineer to join our Global Data team. This role focuses on enabling reliable, scalable, and self-service data platforms built on modern cloud technologies such as Google BigQuery Lakehouse architectures, and distributed data pipelines.
You will play a key role in supporting production data products, improving platform observability, and empowering users through automation, AI-driven capabilities, and self-service solutions.
Key Responsibilities
• Leverage AI/GenAI tools to improve data discovery, metadata generation, and operational efficiency
• Monitor and troubleshoot data pipelines, ingestion, and transformation workflows
• Enable self-service data access for business users through well-defined datasets, documentation, and tools
• Automate repetitive support tasks using scripting and platform-native capabilities
• Collaborate with engineering, analytics, and business teams to resolve data issues and improve platform usability
• Provide support for enterprise data platforms, ensuring high availability and reliability
• Support data governance initiatives, including metadata, lineage, and cataloging
• Participate in incident management, root cause analysis, and continuous improvement efforts
Required Skills & Experience
• 3–4 years of experience in data engineering / data platform support
• Strong hands-on experience with Google BigQuery, GCS, Composer
• Experience working with data lakehouse architectures (e.g., BigQuery, DBT)
• Good understanding of data ingestion and transformation tools (e.g., Airflow, Composer, Informatica CDC, dbt, or similar)
• Proficiency in SQL an dJava / Python
• Experience with cloud platforms (GCP preferred; AWS/Azure is a plus)
• Familiarity with data pipeline monitoring and troubleshooting
• Basic understanding of data governance and metadata management tools (e.g., Collibra or similar)
Preferred Skills
• Experience Snowfalke,Databricks ,Qlik
• Exposure to AI/ML or GenAI tools in data workflows
• Knowledge of Looker / Tableau / Power BI or similar BI tools
• Understanding of cost optimization (FinOps) in cloud data platforms
What You Will Bring
• Strong problem-solving and analytical mindset
• Passion for improving platform reliability and user experience
• Excellent communication and collaboration skills
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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Pearson makes learning materials and runs assessments for students, educators, employers, and professionals, combining digital courseware with qualifications that verify knowledge and skills. Its MyLab and Mastering platforms pair college content with practice activities and tools that let instructors track progress. The business also supports online schools, English learning, professional certification, and workforce training, with products used in classrooms, workplaces, and testing centers. It earns money from courseware sales, digital subscriptions, assessment fees, and contracts with education institutions and employers. Pearson traces its roots to 1844 and is headquartered in London.
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