Forward Deployed Data Engineer - Databricks

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

** Day-to-Day Responsibilities:*
* +  
** Collaborative Teamwork** :
Partner with engineers, program managers, and domain specialists to conceive, architect, build, and maintain applications that meet AFS clients' needs.

+  
** Data Synthesis** :
Understand a client's most critical objectives and synthesize disparate information into a cohesive vision and actionable roadmap, interpreting what the data signifies and outlining an impact-based plan to rapidly go from use case to prototype to scaled deployment.

+  
** Rapid Iteration** :
Quickly iterate, build from scratch, and help transform clients' operations at uncommon speed. You won't just deploy software-you'll help reshape how entire organizations work by putting powerful tools in the hands of executives and real operators.

+  
** Production-Grade Solutions** :
Develop production-grade solutions that make sense of the client's data and process it through an actionable workflow that can help clients make better decisions.

+  
** Collaboration** :
Collaborate with technical and non-technical colleagues to define solution requirements, iterate on the solution, and ship code.

Key Responsibilities:

+ Deliver end‑to‑end, production-grade data and AI solutions on Databricks platforms.

+ Design and build scalable data pipelines, APIs, and user-facing applications using Spark and modern big‑data engines.

+ Design and build Databricks Apps, including both front‑end and back‑end components.

+ Integrate LLMs and AI APIs (OpenAI, Anthropic, Gemini) into applications and data workflows.

+ Deploy solutions to cloud environments (AWS, Azure, GCP) and monitor production systems for performance, reliability, and cost efficiency.

+ Debug complex issues across the full stack, including data pipelines, application services, cloud infrastructure, and AI integrations.

+ Implement CI/CD workflows, automated testing, and secure, repeatable production deployments.

+ Ensure data governance, quality, and security through best practices and tools like Unity Catalog.

+ Partner directly with customer stakeholders to define requirements, architect solutions, and provide hands-on technical guidance.

+ Produce clear documentation, runbooks, and technical enablement materials for long-term maintainability.

** What We Look For:*
* +  
** Client Success Obsession** : A deep commitment to helping clients succeed, even beyond the original scope. You thrive on solving hard customer problems and take pride in delivering solutions that drive real value.

+  
** Analytical & Problem-Solving Skills** :
Strong abilities in breaking down complex problems and constructing end-to-end solutions that work.

+  
** Technical Proficiency** :
Proficiency in relevant programming languages (e.g., Python, Type Script) and the ability to build applications that utilize large structured and unstructured datasets in production environments.

+  
** Independent Ownership** :
Capability to work autonomously while owning outcomes, with support…