Senior Data & AI Solutions Architect (Forward Deployed)

Databricks

Zürich

Vor Ort

CHF 130.000 - 180.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Databricks is seeking a Sr Forward Deployed Engineer to work closely with customers in Zurich to architect and productionize data and AI solutions on the Databricks platform. You will own architecture decisions, lead design and implementation of end-to-end systems, and collaborate with cross-functional teams to deliver high-impact outcomes.

The role combines hands-on engineering with customer empathy, delivering reference architectures, data pipelines, and ML/AI model integrations while ensuring

Qualifikationen

  • 6+ years of experience in data engineering, data platforms, analytics, or software engineering.
  • Strong coding skills in Python, Scala, or JavaScript/TypeScript with modern frameworks.
  • Deep experience with distributed computing using Apache Spark and Spark internals.
  • Familiarity with CI/CD for production deployments.

Aufgaben

  • Lead production-grade delivery for customer projects, including reference architectures and data ingestion.
  • Guide end-to-end design, build, and deployment of big data and AI applications.
  • Own architecture decisions, ensuring secure, scalable solutions aligned with Databricks best practices.
  • Embed with customer teams, translating requirements into actionable solutions.

Kenntnisse

Python/Scala/JS-TS
Cloud platforms
Apache Spark
CI/CD
MLOps
Architecture design
Client collaboration

Tools

Databricks platform

Jobbeschreibung

Databricks is seeking a Sr Forward Deployed Engineer to work closely with customers in Zurich to architect and productionize data and AI solutions on the Databricks platform. You will own architecture decisions, lead design and implementation of end-to-end systems, and collaborate with cross-functional teams to deliver high-impact outcomes.

The role combines hands-on engineering with customer empathy, delivering reference architectures, data pipelines, and ML/AI model integrations while ensuring

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