Forward Deployed Engineer

ppCSQ327R45 /p pAs 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 most value out of their data. /p pThis 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 specification with exceptional customer empathy. /p h3The Impact You Will Have /h3 ul liProduction 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 /li liTransformational 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 /li liEmpower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. /li liOwn the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. /li liWork 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. /li liWork with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. /li liCustomer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. /li liReusable Assets Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. /li /ul h3What We Look For /h3 ul liExtensive experience in data engineering, data platforms analytics, or software engineering /li liComfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks /li liWorking knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one /li liDeep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals /li liFamiliarity with CI/CD for production deployments /li liWorking knowledge of MLOps, ML/AI models and AI APIs /li liDesign and deployment of performant production end‑to‑end data architectures and applications that combine data pipelines, ML/AI models, and user‑facing interfaces. /li liExperience with technical project delivery – managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. /li liDocumentation and white‑boarding skills. /li liExperience working with enterprise clients and managing conflicts across a broad stakeholder range /li liBuild 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. /li liTravel to customers 20% of the time /li liDatabricks Certification /li /ul h3About Databricks /h3 pDatabricks is the data and AI company. More than 10,000 organizations worldwide—including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500—rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. /p h3Benefits /h3 pAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. /p h3Our Commitment to Diversity and Inclusion /h3 pAt 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. /p h3Compliance /h3 pIf 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. /p /p #J-18808-Ljbffr