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

📌 Forward Deployed Engineer (Ciudad de México)
🏢 Arkham Technologies
📍 Ciudad de México