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# Lead Databricks Forward Deployed Engineer - GPS

- **Company:** Deloitte T.T.L.
- **Location:** Sacramento, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Continuous Integration, DevOps, Global Positioning Systems (GPS), IT Management, Data Streaming, Data Logging, Google Cloud, Large Language Models, Apache Spark, Information Technology, Data Management, Machine Learning Operations, Data Pipelines, Databricks, Microservices
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/lead-databricks-forward-deployed-engineer-gps-sacramento-ca-usa-58886897

## About the Role

You embedding, retrieval, hybrid search) for production-grade quality * Review production-quality code and contribute to data pipelines powering GenAI use cases * Guide data management, CI/CD, testing, logging, and documentation practices * Engage in executive briefings and platform partner engagements to shape pipelines and deals * Balance prototype-to-production transitions and align with client IT leadership and business owners * Ensure secure, compliant, and scalable cloud-based GenAI solutions (AWS/Azure/GC) Tasks * Bachelor's degree in Computer Science, Data Science or Engineering * Minimum Secret level security clearance * 10+ years of software/data/analytics engineering experience * 6+ years building and deploying GenAI/LLM-powered solutions in production * 6+ years Databricks experience with Lakeflow Connect, Lakebase, Agent Bricks, Model Serving, Genie, or Databricks Apps * 6+ years leading project workstreams and translating business problems into AI solutions * 5+ years aaaaa
and maintainable code and CI/CD DevOps in Databricks * Willingness to travel ~50% * Authorized to work in the United States without sponsorship * Professional Databricks certifications (required) * Preferred cloud experience (AWS/Azure/Google Cloud) and platform services familiarity * Experience with Spark, Airflow/dbt, streaming, data modeling, MLOps, API/microservices integrations * Experience operating in hybrid onshore/offshore teams * Awareness of security, privacy, and compliance considerations Key requirements *

## Description

Experteer Overview In this role, you lead embedded engineering pods to deliver GenAI solutions for Deloitte's strategic clients, guiding technical direction while remaining hands-on. You influence executive decision-making and ensure scalable, production-ready architectures across onshore and hybrid delivery models. You collaborate with client teams to define success metrics and drive the transformation of data, AI, and platform capabilities. This is a mission-driven opportunity to shape AI-enabled solutions at scale for public sector and enterprise clients. Compensation / Benefits * Lead client-facing engineering partnerships and define success metrics for GenAI implementations * Steer multi-pod delivery, ensure execution discipline, governance, and quality gates * Mentor junior engineers and coordinate onshore/offshore resources * Architect and oversee delivery of LLM-enabled apps, copilot/agentic workflows, and knowledge search experiences * Govern end-to-end RAG pipelines (ingestion, embedding, retrieval, hybrid search) for production-grade quality * Review production-quality code and contribute to data pipelines powering GenAI use cases * Guide data management, CI/CD, testing, logging, and documentation practices * Engage in executive briefings and platform partner engagements to shape pipelines and deals * Balance prototype-to-production transitions and align with client IT leadership and business owners * Ensure secure, compliant, and scalable cloud-based GenAI solutions (AWS/Azure/GC) Tasks * Bachelor's degree in Computer Science, Data Science or Engineering * Minimum Secret level security clearance * 10+ years of software/data/analytics engineering experience * 6+ years building and deploying GenAI/LLM-powered solutions in production * 6+ years Databricks experience with Lakeflow Connect, Lakebase, Agent Bricks, Model Serving, Genie, or Databricks Apps * 6+ years leading project workstreams and translating business problems into AI solutions * 5+ years building maintainable code and CI/CD DevOps in Databricks * Willingness to travel ~50% * Authorized to work in the United States without sponsorship * Professional Databricks certifications (required) * Preferred cloud experience (AWS/Azure/Google Cloud) and platform services familiarity * Experience with Spark, Airflow/dbt, streaming, data modeling, MLOps, API/microservices integrations * Experience operating in hybrid onshore/offshore teams * Awareness of security, privacy, and compliance considerations Key requirements *


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