About the Role
CloudSufi, a Google Premium Partner specializing in data and AI solutions, is seeking a Staff / Principal Tech Lead to drive the technical execution of our Google Data Commons program. This is a high-visibility, horizontal leadership role embedded within the Google ecosystem — based physically at Google's Bangalore office — working in close daily collaboration with Google's core Data Commons engineering team.
The Tech Lead is the technical spine of the engagement. They sit across all four delivery areas — Data Engineering, Frontend, ML/AI, and DevOps/Infrastructure — providing architectural direction, resolving cross-track dependencies, and ensuring the quality and coherence of everything we ship. Equally critical is the ability to represent CloudSufi in a credible, articulate, and collaborative manner to Google counterparts at every level.
This is a genuinely hands-on role: the successful candidate must be able to write, debug, and reason about Python and GCP code themselves — not only direct others or lean on AI coding assistants — and must be comfortable operating in an open-source, public-data environment without relying, for example, on Google-internal (google3) tooling.
Technology Stack & Domain Knowledg
eCore / Must-Hav
- eRelevant experience on Knowledge Graph, Statistical Data and Analytics (any experience with Google Data Commons is a nice to have, but not required
- )Google Cloud Spanner – schema design, distributed transactions, interleaved tables, and performance tuning at scale
- .Google BigQuery – data modeling, partitioning/clustering strategies, query optimization, and integration with downstream consumers
- .Data pipelines – Apache Beam / Dataflow, or equivalent GCP-native ETL tooling
- .Infrastructure as Code – Terraform on GCP; Cloud Build, Artifact Registry, GKE or Cloud Run
- .Demonstrable, autonomous hands-on proficiency in Python and native GCP tooling — able to code and debug independently in a live technical discussion, with AI-assisted development as a complement to (not a replacement for) that proficiency
- .Direct experience working with open, public, and unstructured datasets (e.g. sourcing, cleaning, and integrating public statistics or open data feeds) using open-source or standard GCP-native tooling
- .Solid grounding in knowledge graph vs data warehouse principles, and how to design for schema and data drift in an open-source knowledge graph context
- .CI/CD experience and working with GitHu
- bFull stack experience, specially with data centric apps/system
s
Strong Advanta
- gePython (primary language for Data Commons import tooling and ML pipelines
- ).TypeScript / React for the Data Commons web frontend and visualization layer
- s.Vertex AI, BigQuery ML, or equivalent ML lifecycle toolin
- g.Knowledge graph principles, RDF/SPARQL, or statistical data modelin
- g.DataCommons Python / REST APIs and the DCID import automation tool
- s.Experience with Google's internal engineering culture, tools (e.g. Buganizer, Critique, Cider), or prior delivery inside a Google product or partnership engagemen
t.
Experience & Qualificati
onsRequir
- ed 10+ years of software engineering experience, with at least 3 years in a formal or informal tech lead capacity overseeing multiple workstrea
- ms.Demonstrable experience delivering production-grade systems on Google Cloud Platfo
- rm.Prior experience working with or for Google — as a Googler, through a Google partnership program, or as a contractor embedded in a Google team — is strongly preferr
- ed.Exceptional verbal and written English communication skills; able to engage confidently with senior Google engineers and program manage
- rs.Proven ability to operate across ambiguous, fast-moving programs with multiple parallel trac
- ks.Based in Bangalore, India, and able to work on-site at Google's Bangalore office on a regular bas
- is.Able to read and interpret an RFP / SOW and connect its terms to a workable technical delivery pl
an.
What CloudSufi Of
- fersA flagship engagement at the intersection of Google's open data infrastructure and real-world AI/data imp
- act.Daily collaboration with Google's core engineering team — a rare opportunity to work inside one of Google's strategic open data initiati
- ves.Competitive compensation benchmarked at Staff / Principal level in the Bangalore mar
- ket.CloudSufi's full benefits pack
- age.A culture that values technical excellence, client trust, and a people-first approach to deliv
ery.
