Data Architect (Noida)

Data Architect (Noida)

02 Oct
|
Uplevyl
|
Noida

02 Oct

Uplevyl

Noida

About Uplevyl
Uplevyl builds AI-powered knowledge and community infrastructure for organizations serving women.
Our products include UpGenie (our domain-specific AI assistant), WeHub (our community platform), and UpSocial (a social platform for women).
We hold a easy conviction: in high-stakes domains like rights, law, and financial security, a generic AI is not enough. The answers people stake their lives and livelihoods on need a purpose-built system with verified, native data. That is what we build, and it is why the work is urgent.
We have also made a deliberate choice about how we build: a small team of exceptional people, paid well above market, each doing work that would normally take several. We would rather be ten people who move the world than thirty who move paper.

About the role
Uplevyl is a data and technology company. What we sell is a knowledge layer: every verified US law on a subject, across every jurisdiction, held as one structured record per law that carries the jurisdiction, the right, the eligibility rules, the citation and the dates.




The first knowledge layer, workplace rights, is built and running. Survivor rights, the hardest subset of it, was built first and is live: four areas of law, sourced and verified across federal, state and local law. The rest of workplace rights is being populated on the same pipeline, wealth life events has a live prototype, and reproductive health is in R&D.;
The platform runs as five layers. The source layer finds, fetches, reads and checks the law. The data layer holds the versioned, jurisdiction-resolved corpus. The AI layer answers questions from that corpus through a seven-step agentic workflow. The enterprise layer gives each client its own instance, so the core never knows the tenant. The analytics layer reads all four and writes to none.
Here is the honest version. That diagram is true in production for survivor rights, and it is held together at the seams by spreadsheets and people. Source versions and

📌 Data Architect (Noida)
🏢 Uplevyl
📍 Noida

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