About The 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 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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