Job Description

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

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