CLOUDSUFI
Website:
cloudsufi.com
Job details:
CloudSufi, a Google Cloud 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.
What You Will Do -
Technical Leadership & Architecture
- Own the end-to-end technical architecture across all program tracks, ensuring alignment with Google Data Commons standards, APIs, and roadmap.
- Define and enforce engineering best practices, coding standards, and review processes across Data Engineering, Frontend, ML/AI, and DevOps/Infra workstreams.
- Make high-stakes design decisions on data modeling, pipeline architecture, schema design, and system integration — with clear documentation and traceability.
- Proactively identify technical risks, cross-track conflicts, and blockers; drive resolution before they impact delivery.
- Lead or participate in architecture review sessions with Google's core engineering team.
Cross-Track Coordination
- Act as the single technical point of contact horizontally across all tracks, breaking down silos and ensuring consistent patterns and interfaces.
- Facilitate technical syncs across track leads; surface dependencies early and coordinate sequencing of deliverables.
- Define shared standards for data contracts, API interfaces, and infrastructure configuration used across tracks.
Google Partnership & Communication
- Build and maintain a strong working relationship with the Google Data Commons core team — attending joint ceremonies, reviews, and design discussions.
- Represent CloudSufi's delivery quality and technical credibility in all interactions with Google stakeholders.
- Translate complex technical discussions into clear summaries for both technical and non-technical audiences across both organizations.
- Proactively communicate progress, blockers, and decisions to CloudSufi leadership and Google program managers.
Delivery Quality & Engineering Excellence
- Drive code reviews, set quality gates, and ensure CI/CD pipelines, test coverage, and observability standards are met across all tracks.
- Champion performance, reliability, and scalability from design through production.
- Mentor and technically grow senior engineers across tracks without carrying formal HR responsibility.
- Contribute hands-on to critical technical work when needed — this is a hybrid IC and leadership role.
Technology Stack & Domain Knowledge
Core / Must-Have
- Google Data Commons – deep familiarity with the Data Commons knowledge graph, DCID conventions, import pipelines, and the Statistical Variable hierarchy.
- 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.
- 10+ years of software engineering experience, with at least 3 years in a formal or informal tech lead capacity overseeing multiple workstreams.
- Demonstrable experience delivering production-grade systems on Google Cloud Platform.
- 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 preferred.
- Exceptional verbal and written English communication skills; able to engage confidently with senior Google engineers and program managers.
- Proven ability to operate across ambiguous, fast-moving programs with multiple parallel tracks.
- Based in Bangalore, India, and able to work on-site at Google's Bangalore office on a regular basis.
Strong Advantage
- Python (primary language for Data Commons import tooling and ML pipelines).
- TypeScript / React for the Data Commons web frontend and visualization layers.
- Vertex AI, BigQuery ML, or equivalent ML lifecycle tooling.
- Knowledge graph principles, RDF/SPARQL, or statistical data modeling.
- DataCommons Python / REST APIs and the DCID import automation tools.
- Experience with Google's internal engineering culture, tools (e.g. Buganizer, Critique, Cider), or prior delivery inside a Google product or partnership engagement.
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