Forward Deployed Engineer
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:
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