About Us

We’re on a mission: deliver foundational Customer Data Platform (CDP) use cases in 45 days. Our approach is fast, structured, and ruthless about quality. Data only matters if it’s trusted, modeled, and usable — and that’s where you come in.

We’re looking for a Warehouse Engineer to join our team and be the one turning raw Segment event streams into validated, queryable, business-ready data in Snowflake, BigQuery, or Redshift. If Segment is the nervous system, you’re the one making sure the signals translate into something the brain (the business) can actually use.

This isn’t a back-office role. You’ll be client-facing, responsible for showing customers how their warehouse lights up when Segment goes live.

What You’ll Do

- Model events into truth → Define tables, views, and materialized models that make sense for analytics and activation.
- Validate the flow → From Source → Segment → Warehouse → BI, ensure every event, trait, and property shows up as expected.
- Prove value fast → Build a demo-grade dashboard that confirms CDP ROI in the first 45 days.
- Own QA → Detect schema drift, null explosions, PII leakage, and fix them before clients notice.
- Partner with others → Work with Solutions Architect, Integration Engineer, and Data Gov to align on definitions, naming conventions, and governance rules.
- Document and teach → Create SQL snippets, warehouse runbooks, and data dictionaries that clients can actually use after handoff.

Key Responsibilities

- Spin up models using dbt (or equivalent) to standardize Segment events.
- Run daily validation queries in Snowflake/BigQuery/Redshift.
- Collaborate with Engagement Lead on status notes: highlight data health, schema issues, and fixes.
- Deliver a “Day 45 demo” in Looker, Tableau,



or Mode — minimal, but proof of value.
- Keep Trello/Jira cards up to date with warehouse progress, blockers, and QA notes.

What We’re Looking For

Minimum Requirements:

- Strong SQL chops. You can model, debug, and optimize queries in your sleep.
- Hands-on experience with at least one major warehouse (Snowflake, BigQuery, Redshift).
- Familiarity with dbt or equivalent modeling frameworks.
- Comfort with Segment data structure (events, traits, context fields).
- Track record of building models that directly power analytics or campaigns.

Bonus Points For:

- Experience validating CDP pipelines end-to-end.
- Familiarity with Amplitude, GA4, Looker, or Mode.
- Creating governance-friendly models (naming conventions, documentation baked in).

The Mindset We Hire For

- You’re ruthless about data quality. Garbage in, garbage out isn’t an option.
- You balance speed with trust. Ship fast, but never let bad data sneak downstream.
- You know data modeling isn’t art — it’s about clarity, usability, and repeatability.
- You can explain your model to a non-technical stakeholder without jargon.

Tools You’ll Use

Segment Debugger + Warehouse logs, Snowflake/BigQuery/Redshift, dbt, SQL, Trello/Jira, Notion/Confluence, BI tools (Looker/Tableau/Mode), Slack/Email, Git.

Why Join Us?

We don’t just implement Segment — we prove it. That means data flowing, models built, dashboards working, and clients saying, “Yes, this is real.”

If you like the adrenaline of turning raw logs into trusted insights under pressure — while building systems that scale — you’ll thrive here. If you want endless design committees or abstract data debates, you won’t.

Pay: ₹500.00 - ₹1,000.00 per hour

Perks

- Flexible schedule

Work Location: Remote

📌 Warehouse Engineer (India)
🏢 Datadrone
📍 India