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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Forward Deployed Engineer - GPS - **Company:** Deloitte T.T.L. - **Location:** Austin, TX, United States - **Experience:** Experienced - **Salary:** $134,500.0 - $265,100.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Continuous Integration, Information Engineering, DevOps, Global Positioning Systems (GPS), Monitoring of Systems, Identity and Access Management, Machine Learning, Software Engineering, Data Streaming, Management of Software Versions, Data Logging, Google Cloud, Enterprise Software Applications, Cloud Platform System, Feature Engineering, Large Language Models, Apache Spark, Model Validation, Event Driven Architecture, AI Platforms, Information Technology, Low Latency, Machine Learning Operations, Databricks, Microservices - **Published:** July 23, 2026 - **Apply:** https://dejobs.org/x/x/9E9081F02E344D8D8BBC5EF1512ED4D9/job/ ## About the Role * 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 The team, Required: * Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field. * Active US government security clearance (minimum Secret level) * 4+ years of experience in software engineering, data engineering, data science, or analytics engineering. * 2+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments. * 2+ years of experience with Databricks including hands-on experience with one of the following key platform technologies: Databricks features for data engineering, data science, and analytics including Lakeflow Connect, Agent Bricks, and Databricks Apps. * 2+ years of experience leading project workstreams/engagements and translating business problems into AI solutions. * 2+ 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. Preferred: * Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional) are highly preferred. * 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. * Familiarity with security, privacy, and compliance considerations in regulated enterprise environments. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. ## Description As a Databricks Forward Deployed Engineer (FDE), you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include: Client Engagement: * Embed with clients to identify business needs and translate high-value GenAI use cases into solutions. * Partner with leaders, product owners, architects, and engineers to align priorities and delivery. * Lead working sessions to shape solutions and drive client outcomes. * Prototype and deliver working AI solutions using industry expertise and emerging capabilities. * Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering: * Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms. * Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls. * Apply architecture decisions that balance quality, safety, latency, cost, and model risk. * Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation. * Design extensible functionality, support sprint sizing, and align solutions with senior team members. * Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [How Much Does a Software Engineer Make? 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