About Us

CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services, and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.

Our Values

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive setting for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of

our workplace. Please explore more at https://cloudsufi.com

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.

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.
- Review the program's RFP and Statement of Work (SOW) directly and translate its commitments into concrete technical implementation plans across tracks.

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.

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.
- Personally write, debug, and optimize Python and GCP code when needed as a regular part of the role — this is not a purely oversight-level position, and AI coding assistants (e.g. Cursor, Gemini) are expected to augment, not substitute for, the candidate's own hands-on proficiency.

Technology Stack & Domain Knowledge

Core / Must-Have (candidates meeting 70-80% of these are encouraged to apply)

- Relevant 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 GitHub
- Full stack experience, specially with data centric apps/systems

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.

Experience & Qualifications

Required (candidates meeting 70-80% of these are encouraged to apply)

- 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.
- Able to read and interpret an RFP / SOW and connect its terms to a workable technical delivery plan.

Preferred

- Experience in the data and AI consulting or professional services space, particularly within the Google Cloud partner ecosystem.
- Familiarity with open data, public statistics, or knowledge graph use cases (e.g. UN SDG data, census data, health/economic indicators).
- Prior contribution to open-source projects, particularly Google Data Commons or related tooling.

What CloudSufi Offers

- A flagship engagement at the intersection of Google's open data infrastructure and real-world AI/data impact.
- Daily collaboration with Google's core engineering team — a rare opportunity to work inside one of Google's strategic open data initiatives.
- Competitive compensation benchmarked at Staff / Principal level in the Bangalore market.

📌 Technical Architect - Data Engineering (India)
🏢 CLOUDSUFI
📍 India