LOCATION

Bangalore · Onsite

EXPERIENCE

10+ Years

SALARY

Negotiable

SKILLS REQUIRED

Data EngineeringPythonData WarehousingSQLBigQueryData ArchitectureData GovernanceData Lineage

Job description

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