Forward Deployed Engineer
Arkham is a Data & AI platform that helps large enterprises:
Teams at Circle K and Kimberly-Clark partner with us to deploy AI-powered solutions for sell-out forecasting, pricing and promo analysis, and automated order assignment. With Arkham, they achieve high-impact results fast, creating a strong foundation for long-term AI transformation.
Know more about Arkham:
Our implementation model is built around two core roles:
As a Forward Engineer, you'll be the technical bridge between Arkham's Data Sync platform and our clients. Your primary focus is building the connectors that make data flow — REST APIs & JDBC/ODBC, — using frameworks like dlt, Airbyte, and Meltano (desired but not mandatory). But unlike a purely internal engineering role, you'll own the full implementation cycle: working directly with client teams to understand their data landscape, then building and deploying the connectors that unlock it.
You'll manage 3-4 client implementations at a time, moving fast from discovery to production while keeping your connector work reusable and scalable across engagements.
Every connector should prioritize reusability, configurability, and scalability.
Own the data integration process from initial discovery to production deployment.
This includes:
Most integrations are expected to reach production within 2–4 weeks.
Create adapter and abstraction layers that standardize how connectors handle:
Your goal is to ensure connectors behave consistently across systems.
Collaborate with engineering and data teams to:
You’ll translate real-world operational systems into clean, reliable data pipelines.
Write clean SQL and design transformations that produce high-quality datasets ready for analytics and AI workflows.
Your pipelines should be:
Each integration should strengthen Arkham’s platform.
You’ll contribute reusable patterns and improvements back to the shared connector framework so that every engagement accelerates the next one.
You should be comfortable:
This role requires engineers who take responsibility for outcomes, not just code.
Experience with cloud environments is expected.
Preferred:
Nice-to-have experience includes: