About this role
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 platforms, 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 • Build and enhance data observability frameworks (data freshness, data quality, pipeline health) • 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 and 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 with data observability tools/frameworks • Exposure to AI/ML or GenAI tools in data workflows • Knowledge of Collibra or similar Data Governance tools • Knowledge of Looker / Tableau / Power BI or similar BI tools • Experience with CI/CD and DevOps practices in data environments • 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 #LI-P1