[All remote jobs](https://jobicy.com/jobs.md)[![Databricks logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/12/4e3f864ba9cf3c62d471e1c62414d098.jpg)](https://jobicy.com/company/databricks.md)[Databricks](https://jobicy.com/company/databricks.md) # Sr. Forward Deployed Engineer (FDE) – Digital Native Business AI Summary Senior Forward Deployed Engineer will lead customer-facing delivery of production-grade data, AI, and application solutions on the Databricks Platform. The role owns architecture and design decisions, integrates data pipelines and ML/AI models, and works directly with customer teams from technical contributors through executives. It requires deep distributed-computing expertise, especially Apache Spark, cloud-platform experience, production engineering practices, and the ability to manage delivery scope and outcomes. The position is Bay Area-focused and requires customer travel, including meaningful in-person time in the area at least one week per month.[Apply for this job](#job-application)[View company](https://jobicy.com/company/databricks.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 182k–250,208 / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished5 Nov 2026Apply before5 Dec 2026Listing views29Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. CSQ227R258 As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. Location: San Francisco Bay Area Preferred This role is San Francisco Bay Area-focused. We’re looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team. The impact you will have: * Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration * Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers’ successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer’s needs. * Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: * 6+ years of experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one * Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery – managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with enterprise clients and managing conflicts across a broad stakeholder range * Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20% of the time * Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page [here](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf). Local Pay Range $182,000—$250,208 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on [LinkedIn](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en). Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click [here](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing). Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more [Apply now >](https://jobicy.com/jobs/159152-sr-forward-deployed-engineer-fde-digital-native-business.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightЭто высокосложная senior-роль, сочетающая архитектуру распределённых систем, production delivery, AI/ML-интеграции и техническое консультирование крупных клиентов. Кандидат должен самостоятельно принимать архитектурные решения и обеспечивать измеримый результат в условиях клиентских сроков и разнообразных стейкхолдеров. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$216,104US market range (per year)$185k–$260k0$286k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Указан ожидаемый диапазон базовой зарплаты $182,000–$250,208 USD. Годовой период выведен логически по уровню и рынку американской senior engineering-роли, так как в объявлении период выплат прямо не назван. Оценочный рыночный диапазон для сопоставимой senior customer-facing data/AI engineering роли в США составляет $185,000–$260,000 в год без учёта бонусов и equity. ## Core skills Skills and capabilities most closely associated with this opportunity. [Apache Spark](https://jobicy.com/jobs?search_keywords=Apache%20Spark.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Scala](https://jobicy.com/jobs?search_keywords=Scala.md)[JavaScript](https://jobicy.com/jobs?search_keywords=JavaScript.md)[TypeScript](https://jobicy.com/jobs?search_keywords=TypeScript.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Azure](https://jobicy.com/jobs?search_keywords=Azure.md)[Google Cloud Platform](https://jobicy.com/jobs?search_keywords=Google%20Cloud%20Platform.md)[Data Engineering](https://jobicy.com/jobs?search_keywords=Data%20Engineering.md)[Distributed Computing](https://jobicy.com/jobs?search_keywords=Distributed%20Computing.md)[MLOps](https://jobicy.com/jobs?search_keywords=MLOps.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Machine Learning Integration](https://jobicy.com/jobs?search_keywords=Machine%20Learning%20Integration.md)[Solution Architecture](https://jobicy.com/jobs?search_keywords=Solution%20Architecture.md)[Technical Project Delivery](https://jobicy.com/jobs?search_keywords=Technical%20Project%20Delivery.md) Sample interview questionsDescribe a production data and AI solution you delivered for an enterprise customer from architecture through deployment.I would explain the customer objective, the target architecture, data ingestion and transformation design, model or AI integration, deployment process, and measurable business or reliability results. I would also describe trade-offs, security considerations, and how I enabled the customer team to operate the solution. How do you investigate and improve the performance of a large Apache Spark workload? I start with Spark UI and cluster metrics to identify skew, expensive shuffles, inefficient joins, partition issues, and executor bottlenecks. I then tune data layout, partitioning, join strategies, caching, file sizes, and resource configuration, validating each change with repeatable workload benchmarks. How would you design a secure end-to-end platform that combines data pipelines, an ML model, and a user-facing application? I would separate ingestion, transformation, model-serving, and application layers while applying least-privilege access controls, secrets management, encryption, auditability, and environment isolation. I would add CI/CD, data-quality checks, model monitoring, observability, rollback mechanisms, and clear operational ownership. How do you manage scope changes when delivering a billable technical engagement? I clarify the requested change, assess its impact on architecture, timeline, risk, and acceptance criteria, and communicate those effects early to the engagement manager and customer sponsors. I document an agreed decision, prioritize work against business outcomes, and protect delivery quality rather than accepting unbounded scope. Give an example of explaining a complex architecture decision to both executives and hands-on engineers. For executives, I focus on business impact, cost, risk, delivery milestones, and the decision required. For engineers, I provide the technical rationale, alternatives considered, interfaces, operational implications, and implementation plan, then use diagrams and documentation to keep both groups aligned. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. 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