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. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.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 integrationTransformational 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 customerEmpower Customers: bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.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.What we look for:6+ years experience in data engineering, data platforms & analytics, or software engineeringComfortable writing code in either Python, Scala, JavaScript/TypeScript,



and modern frameworksWorking knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least oneDeep experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internalsFamiliarity with CI/CD for production deploymentsWorking knowledge of MLOps, ML/AI models and AI APIsDesign 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.Experience working with enterprise clients and managing conflicts across a broad stakeholder rangeBuild 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 timeDatabricks CertificationAbout DatabricksDatabricks 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, X, YouTube, and Instagram.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. xqysrnhComplianceIf 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.

📌 Sr. Technical Program Manager, Fde - Latam (Nava)
🏢 Neon
📍 Nava