Jump to a popular page, or start typing.
    Talk to our team

    COMPANY / ENGINEERING AT DATAHASH

    Build the privacy-first data infrastructure modern marketing runs on.

    We move billions of events a month, cookie-free and compliant, so brands can measure what actually works. The engineering is the product.

    See open engineering roles How we build

    signals :: live

    1. > event web.purchase cart_value=214.00
    2. hash sha256(email,phone) pii=cleared
    3. dedupe event_id=8f3a match pixel+server
    4. route meta.capi emq 8.4
    5. route google.enhanced match ok
    6. route snap.capi match ok
    7. ✓ delivered 4/4 destinations in 182ms
    HOW WE BUILD

    Six principles, not slogans.

    These are opinions about day-to-day engineering here. They decide how we design systems, review code, and hand out ownership.

    Ownership over hand-offs

    Small teams own a problem end to end, from the connector to the dashboard, including what happens at 2am.

    Ship, measure, iterate

    We release in small increments and let real event data tell us what to do next.

    Privacy is a feature

    Compliance with GDPR and India's DPDP shapes the architecture, and engineers help decide how.

    Pragmatic, not dogmatic

    We pick the boring, reliable tool when reliability is the product, and experiment when it buys real leverage.

    Low ego, high context

    Decisions are written down and open. Anyone can question them.

    Grow by doing

    Mentorship, real code review, and meaningful responsibility early.

    We would rather give an engineer a hard problem and real ownership than a spec and a deadline.
    Tushar Sharma AVP Technology, Datahash
    Datahash
    THE HARD PROBLEMS

    What you would actually work on.

    The interesting part of Datahash is the systems behind it. Four problems we live in every day.

    1. Billions of events, in real time

      Every conversion has to be received, validated, hashed, and forwarded to multiple ad platforms inside tight latency budgets, without dropping or duplicating events. Backpressure, idempotency, and retries are daily concerns.

    2. One integration surface, many moving platforms

      Meta, Google, TikTok, Snap, X, and LinkedIn each have their own Conversions API quirks, rate limits, and schema changes. We build connectors that stay correct while the platforms shift under us.

    3. Privacy by construction

      We hash and encrypt first-party data so raw PII is never stored, while keeping matching accurate enough to drive ad performance. Getting both right at once is the job.

    4. Trust and observability

      Customers bet ad budgets on our numbers, so measurement has to be reconcilable and debuggable end to end.

    THE STACK

    Modern by default, current by discipline.

    We care more about judgment than any single language, and we build on a modern, cloud-native stack. When newer tooling earns its place, we adopt it early and retire what it replaces.

    You will not spend your time nursing legacy servers or frozen framework versions. You will spend it on the problems that are actually hard.

    • Cloud-native infrastructure: serverless, event-driven, provisioned as code
    • Real-time data streaming: high-throughput, low-latency event pipelines
    • Distributed systems: current patterns for reliability and cost at platform scale
    • Modern web: a component-driven frontend and API layer kept on current versions

    CAREERS

    Want to work on this?

    We are hiring across backend, data, and platform. If nothing fits but you think you belong here, write to careers@datahash.com and say why.

    View open roles Talk to us