Senior Data & AI Solutions Architect

WinsAbove

San Francisco (CA)

On-site

USD 180,000 - 248,000

Full time

3 days ago
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Job summary

Databricks is seeking a Solutions Architect to lead the technical strategy for customers, owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects.

You will develop a technical specialization within your team, design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics, and orchestrate cross-functional resources to deliver impactful outcomes.

Qualifications

  • 6+ years in solutions architecture or related senior technical roles.
  • Strong Python and SQL coding skills with live coding and debugging.
  • Deep expertise in distributed data systems and lakehouse patterns.
  • Proficiency with the Databricks Platform and one technical specialization.
  • Experience leading architecture discussions with senior stakeholders.
  • Production deployments on public clouds (AWS, Azure, GCP) with governance.
  • Excellent communication translating architectures to business value.

Responsibilities

  • Own end-to-end technical strategy for accounts from discovery to production.
  • Lead complex architecture discussions across data engineering, ML/AI, and real-time analytics.
  • Advise customer architects and engineers as a trusted technical advisor.
  • Drive technical wins by demonstrating Databricks differentiation.
  • Develop and share an emerging specialization within the team.
  • Coordinate cross-functional resources to deliver comprehensive solutions.

Skills

6+ years experience
Python
SQL
Distributed data systems
Databricks platform
Cloud deployments
Communication skills

Education

Bachelor’s or Master’s degree in Computer Science/Engineering or related field

Job description

Databricks is seeking a Solutions Architect to lead the technical strategy for customers, owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects.

You will develop a technical specialization within your team, design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics, and orchestrate cross-functional resources to deliver impactful outcomes.

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