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
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