Sr. Forward Deployed Engineer - Architect - Full Stack

Databricks · Londonsenior

In short

▸Ingeniero arquitecto full stack que entrega soluciones de datos e IA en producción para clientes
▸Trabajas dentro del equipo del cliente, liderando arquitectura, diseño y desarrollo de sistemas end-to-end con Spark, ML/AI y aplicaciones web
▸Destaca por tu impacto estratégico: guías transformaciones de datos y aportas aceleradores que influyen en el producto de Databricks

Proficiency in English is required for technical collaboration and customer engagement.

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What they ask for

✓Experiencia extensa en ingeniería de datos, plataformas de datos o ingeniería de software
✓Habilidades comprobadas en Python, Scala, JavaScript/TypeScript y frameworks modernos
✓Conocimiento de al menos dos nubes (AWS, Azure, GCP), con expertise en una
✓Experiencia profunda con Apache Spark™ y su funcionamiento interno
✓Conocimiento de CI/CD para despliegues en producción
✓Experiencia en arquitecturas de datos y aplicaciones con ML/AI, pipelines y interfaces de usuario

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonScalaJavaScriptTypeScriptAWSAzureGCPApache Spark™CI/CDMLOps

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Requisition # CSQ327R269 As a Forward Deployed Engineer Architect 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. 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 specification with exceptional customer empathy. 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: • Extensive 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 tech

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