Data Platform Reliability Engineer - Data Governance Specialist

Advanced Specialist, Data Governance

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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Experience Level

Mid Level