Principal Data Engineer

Overview

Principal Data Engineer serving as the senior technical leader for a Google Cloud and BigQuery data platform. The role sets architecture and standards, delivers AI-powered data solutions, and mentors engineering teams.

What you'll do

• Set architecture, engineering standards, and reusable frameworks for Google Cloud and BigQuery.
• Lead adoption of generative and agentic AI across data discovery, development, testing, and documentation.
• Design and deliver production AI-powered data solutions, including natural-language data access and data agents.
• Solve complex technical problems and act as the escalation point across programs.
• Partner with business, finance, and leadership stakeholders on strategy and trusted outcomes.
• Mentor senior and lead engineers and develop the team's engineering and AI capabilities.

What you'll need

• 10+ years of experience in data engineering and data warehousing.
• Track record of technical leadership.
• Hands-on expertise with Google Cloud and BigQuery.
• Advanced SQL and Python skills.
• Experience architecting and delivering large-scale production data platforms.
• Hands-on generative and agentic AI delivery experience, such as with Claude or Codex.
• Experience setting engineering standards and mentoring senior engineers.

Nice to have

• Experience building AI-powered data capabilities.
• Experience with finance or accounting data, data governance, and data lineage.
• Familiarity with the Microsoft Azure data stack.
• Google Cloud certification, such as Professional Data Engineer or Cloud Architect.

Details

• Location: Bangalore, India.