
Technical Architect - Data Engineering
cloudsufi
Posted 2026-07-01
INR 5,000,000 - INR 6,500,000 per year
Tech & Engg
Job Description
Ovii's Interpretation of the Role
The Technical Architect will own end‑to‑end data engineering architecture for CloudSufi’s Google Data Commons program, coordinating across data, frontend, ML/AI, and DevOps tracks. The role blends hands‑on engineering with high‑visibility technical leadership and close partnership with Google’s core engineering team.
Role Snapshot
- Technical architecture across data, frontend, ML/AI, DevOps
- Cross‑track coordination and dependency management
- Google partnership liaison
- Hands‑on coding and code‑review leadership
- Mentorship of senior engineers
Must-Have Requirements
- Google Data Commons knowledge
- Google Cloud Spanner expertise
- Google BigQuery expertise
- Apache Beam / Dataflow ETL experience
- Terraform on GCP and related IaC tools
- 10+ years software engineering
- 3+ years tech‑lead experience
- English verbal and written communication
- software engineering
- data engineering
- technical leadership
- Google Cloud Platform
- Must be based in Bangalore, India and work on‑site at Google’s Bangalore office
Nice-to-Have Signals
- Prior work directly with Google or through a Google partnership
- Data & AI consulting or professional services experience
- Python programming (primary language)
- TypeScript / React for frontend
- Vertex AI / BigQuery ML
- Knowledge graph principles (RDF, SPARQL)
- Open‑source contributions to Data Commons
- Google partnership programs
- data & AI consulting
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
- Define and enforce architecture, coding standards, and best‑practice guidelines across all program tracks
- Make design decisions on data modeling, pipeline architecture, schema design, and system integration
- Identify technical risks and resolve cross‑track conflicts before they affect delivery
- Lead architecture review sessions with Google’s core engineering team
- Coordinate shared data contracts, API interfaces, and infrastructure configuration across tracks
- Drive code reviews, CI/CD quality gates, test coverage, and observability standards
- Mentor senior engineers and contribute hands‑on to critical technical work when needed
- Represent CloudSufi in technical discussions with Google stakeholders and translate outcomes for internal leadership
Good Fit If You Have
- Proven ability to operate in fast‑moving, ambiguous programs with multiple parallel workstreams
- Strong verbal and written English for senior‑level stakeholder communication
- Prior experience delivering production‑grade systems on Google Cloud Platform
Skills
- Google Data Commons (knowledge graph, DCID, import pipelines)
- Google Cloud Spanner (schema design, distributed transactions)
- Google BigQuery (data modeling, query optimization)
- Apache Beam / Dataflow (GCP‑native ETL)
- Terraform on GCP (IaC), Cloud Build, Artifact Registry, GKE/Cloud Run
- Python (primary language for pipelines)
- TypeScript / React (frontend visualization)
- Vertex AI / BigQuery ML
- Knowledge graph principles (RDF, SPARQL)
- English communication (verbal & written)