Solutions Architect: CPG & Manufacturing AI Strategy

Databricks

Zürich

Vor Ort

CHF 150.000 - 210.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Databricks is seeking a Solutions Architect to own architecture discussions, drive platform adoption, and partner with customer architects and engineering leads. You combine deep technical expertise with a hands-on builder mindset to position Databricks as the foundation of customers' data and AI strategy.

You will lead production deployments on cloud platforms, design lakehouse solutions, and develop an emerging specialization within the team, while enabling cross-functional resources to

Qualifikationen

  • 6+ years in solutions architecture or related roles.

Aufgaben

  • Own end-to-end technical strategy for accounts from discovery through deployment.
  • Lead complex architecture discussions across data engineering, AI/ML, agentic systems, and real-time analytics.
  • Serve as a trusted technical partner to customer architects and Directors, shaping their data and AI journey.
  • Develop an emerging technical specialization (archetype) and become a go-to resource within the team.
  • Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver end-to-end AI and data solutions.
  • Provide structured feedback to product teams on customer requirements, AI capabilities, and competitive gaps.

Kenntnisse

Solutions architecture
Data engineering
AI/ML
Cloud architectures
Stakeholder communication
Whiteboarding / design reviews

Ausbildung

Bachelor's or Master's degree in Computer Science/Engineering or quantitative field

Tools

Databricks Platform

Jobbeschreibung

Databricks is seeking a Solutions Architect to own architecture discussions, drive platform adoption, and partner with customer architects and engineering leads. You combine deep technical expertise with a hands-on builder mindset to position Databricks as the foundation of customers' data and AI strategy.

You will lead production deployments on cloud platforms, design lakehouse solutions, and develop an emerging specialization within the team, while enabling cross-functional resources to

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