Technical Architect - Data Engineering

Ovii's Interpretation of the Role

The Technical Architect leads the Google Data Commons engagement, owning architecture across data, frontend, ML and DevOps tracks while coding hands‑on in Python and GCP. The role blends deep technical execution with cross‑track coordination and partnership with Google engineers.

Role Snapshot

• Technical lead for Google Data Commons program
• Hands‑on Python & GCP development
• Architectural ownership across data, frontend, ML, DevOps
• Cross‑track coordination with Google engineers
• Mentor senior engineers
• Drive engineering best practices and quality

Must-Have Requirements

• Python
• Google Cloud Platform (BigQuery, Spanner, Dataflow)
• Terraform
• Apache Beam / Dataflow
• CI/CD (GitHub, Cloud Build)
• Data modeling & schema design
• software engineering
• technical leadership
• Based in Bangalore, India and able to work on‑site at Google's Bangalore office

Nice-to-Have Signals

• Knowledge Graph / RDF
• TypeScript / React
• Vertex AI / ML pipelines
• Open‑source data tooling
• Familiarity with open data / public statistics
• Google partnership
• knowledge graph

Work Setup

• Location: Bangalore, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Own end‑to‑end architecture across all program tracks, aligning with Google Data Commons standards
• Define and enforce engineering best practices, coding standards, and review processes
• Make design decisions on data modeling, pipeline architecture, schema design, and system integration
• Identify technical risks and cross‑track conflicts, driving resolution before delivery impact
• Lead architecture review sessions with Google’s core engineering team
• Translate RFP/SOW commitments into concrete technical implementation plans
• Act as the single technical point of contact across tracks, coordinating dependencies and shared standards
• Mentor senior engineers and contribute hands‑on Python/GCP code when needed

Good Fit If You Have

• Prior experience delivering solutions for Google Cloud partners or within Google
• Familiarity with open‑data, public statistics, or knowledge‑graph use cases
• Contributions to open‑source projects, especially related to Data Commons
• Experience with TypeScript/React front‑end for data‑centric applications
• Exposure to Vertex AI or ML lifecycle tooling on GCP