
at Deloitte
Big FourPosted 3 days ago
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- Compensation
- $189,200 – $372,900 USD
- City
- Atlanta, Austin, Chicago, Nashville, New York City, Sacramento, San Diego
- Country
- United States
Currency: $ (USD)
Full Job Description
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Lead Databricks Forward Deployed Engineer - GPS
Arlington/Rosslyn, Virginia, United States
Atlanta, Georgia, United States
Austin, Texas, United States
Chicago, Illinois, United States
Nashville, Tennessee, United States
New York, New York, United States
Sacramento, California, United States
San Diego, California, United States
Caution against fraudulent job offers. Learn more.
Position Summary
- Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders
- Lead executive-level discovery, define success metrics (quality, latency, cost, adoption, risk) and a phased plan from prototype to production and scaling
- Navigate organizational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision
- Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagementscontributing to pipeline development and deal shaping.
- Lead FDE pods of 25 onshore anchored and offshore supported engineers, owning execution, resource management, escalations and overall delivery health
- Enforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gates
- Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience.
- Mentor and develop junior FDEs
- Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below)
- Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls
- Govern end-to-end RAG pipeline designincluding ingestion, chunking, embedding, vector retrieval, and hybrid searchensuring production-grade quality and scalability.
- Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.
- Review and contribute to production-quality code
- Guide architecture of data pipelines powering GenAI use cases
- Enforce strong data management, testing, CI/CD, logging, versioning, and documentation practices
- Deep familiarity with cloud environments (AWS, Azure, and/or Google Cloud)
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
- Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
- Minimum Secret level security clearance
- 10+ years of experience in software engineering, data engineering, data science, or analytics engineering.
- 6+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
- 6+ years of experience with Databricks including hands on experience with one of the following key platform technologies; Databricks features including Lakeflow Connect, Lakebase, Agent Bricks, Model Serving, Genie, and Databricks Apps
- 6+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
- 5+ years of experience building reliable, maintainable, and well-documented code and CI/CD DevOps in Databricks
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Professional Databricks certifications are required
- Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
- Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
- Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
- Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
- Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
- Experience operating within hybrid onshore/offshore teams
- Familiarity with security, privacy, and compliance considerations
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
From entry-level employees to senior leaders, we believe theres always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
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