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
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