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

• 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