Software Engineer III

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.

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

Requirements

• 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 Java / 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)

Skills

• Google BigQuery
• Python
• Java
• SQL
• Airflow