Sr. Forward Deployed Engineer - FDE (Fullstack) (m/w/x) Zürich

VollzeitVor OrtSenior

AI/ML

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Nejo KI-Zusammenfassung

Productionizing data & AI solutions on the Databricks platform, owning end-to-end system architecture. 6+ years data engineering, Python/Scala/JS coding, and cloud ecosystem expertise required. Daily stand-ups, cross-functional collaboration.

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Anforderungen

6+ years data engineering, data platforms & analytics, or software engineering
Code writing in Python, Scala, JavaScript/TypeScript, and modern frameworks
Working knowledge of two or more Cloud ecosystems (AWS, Azure, GCP), expertise in one
Deep experience 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
Technical project delivery experience - managing scope, timelines, outcomes
Documentation and white-boarding skills
Experience with enterprise clients and managing stakeholder conflicts
Build skills in technical areas, curiosity, adaptability, eagerness to explore new technologies
Travel to customers 20% of the time
Databricks Certification

Aufgaben

Build and productionize solutions for data & AI challenges using the Databricks platform
Own the architecture and lead design decisions for end-to-end systems
Implement end-to-end systems spanning data engineering, AI, and application development
Shape long-term strategic priorities and initiatives cross-functionally
Deliver production-grade systems for impactful customer technical projects
Design and build reference architectures
Build custom applications
Integrate data ingestion and ML/AI models
Guide strategic customers in implementing transformational big data projects
Design, build, and deploy big data and AI applications
Scope technical delivery work with engagement managers and customers
Guide customers on architecture and design
Bootstrap or implement customer projects
Ensure solutions are secure, scalable, and aligned with customer needs and best practices
Ensure technical components of engagements meet customer needs
Provide product and implementation feedback to Engineering and Support
Guide rapid resolution for product and support issues
Embed with customer teams to understand challenges and deliver impact
Contribute accelerators, frameworks, and best practices
Influence the Databricks product roadmap

Berufserfahrung

6 Jahre

Ausbildung

Bachelor-AbschlussODER

Master-Abschluss

Sprachen

Englisch – verhandlungssicher

Tools & Technologien

PythonScalaJavaScriptTypeScriptAWSAzureGCPApache Spark™CI/CDMLOpsAI APIsDatabricks

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Nejo hat diesen Job automatisch von der Website des Unternehmens Databricks erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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Über das Unternehmen

ITZürich

Databricks is the data and AI company that unifies and democratizes data, analytics, and AI for over 10,000 organizations worldwide.

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