Forward Deployed Engineer About Arkham: Arkham is a Data & AI platform that helps large enterprises: Unify fragmented systems and data Build a single source of trusted operational metrics Solve complex challenges with AI tailored to their operations 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 website Youtube Channel Medium blog About the Role Our implementation model is built around two core roles: Forward Deployed Engineer Forward Deployed Data Scientist 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. What You’ll Work On Build and Own Data Connectors Design and implement connectors for diverse data sources including: REST APIs JDBC / ODBC databases Flat files and object storage Custom ingestion scripts Every connector should prioritize reusability, configurability, and scalability . Lead Client Implementations End-to-End Own the data integration process from initial discovery to production deployment. This includes: Understanding the client’s data architecture Defining integration requirements Building connectors Deploying them into Arkham’s platform Most integrations are expected to reach production within 2–4 weeks. Design Robust Integration Architecture Create adapter and abstraction layers that standardize how connectors handle: Authentication mechanisms Pagination and incremental syncs Rate limits Error handling and retries Schema normalization Your goal is to ensure connectors behave consistently across systems. Work Directly With Client Technical Teams Collaborate with engineering and data teams to: Understand source systems Map and validate data flows Ensure outputs align with business requirements You’ll translate real-world operational systems into clean, reliable data pipelines . Build Analytics-Ready Data Pipelines Write clean SQL and design transformations that produce high-quality datasets ready for analytics and AI workflows . Your pipelines should be: Correct Observable Maintainable Scalable Improve the Connector Library 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 . What We Require Experience 2+ years of backend or data engineering experience Strong Python programming skills Hands-on experience building REST API integrations Solid SQL and relational database fundamentals Communication & Ownership You should be comfortable: Explaining technical work to technical and non-technical stakeholders Working in client-facing environments Owning integrations from problem definition to production This role requires engineers who take responsibility for outcomes , not just code. Technical Environment Experience with cloud environments is expected. Preferred: AWS Bonus Skills Nice-to-have experience includes: CI/CD applied to data workflows Data observability and testing frameworks Familiarity with AI-driven analytics and Generative AI use cases Experience with data integration frameworks such as: dlt Airbyte Meltano #J-18808-Ljbffr