Senior Solutions Architect - Enterprise AI & Data Strategy

Databricks

California

Sur place

USD 219 000 - 301 000

Plein temps

Il y a 9 jours

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Résumé du poste

Databricks is seeking a Sr. Solutions Architect to lead the most complex engagements, drive consumption strategy, and own executive-level relationships across large accounts.

You will act as the technical authority, mentor teams, and architect multi-workload, real-time, and AI/ML scale solutions. You will collaborate with DSAs, SSAs, Partners, and Product to deliver enterprise-grade platforms, while shaping data governance, lakehouse patterns, and cloud-native architectures for sustained revenue

Qualifications

  • 8+ years in solutions architecture or senior technical roles
  • Expert-level coding proficiency in Python and SQL (Spark/PySpark preferred)
  • Deep Enterprise data architecture: distributed systems, streaming/real-time, lakehouse design, data governance
  • Bachelor's or Master's in CS/Engineering or equivalent; advanced degrees valued

Responsabilités

  • Drive consumption strategy and executive relationships for complex engagements
  • Lead multi-workload architecture engagements and enterprise migrations
  • Mentor junior SAs and contribute to field engineering content
  • Coordinate cross-functional teams to deliver enterprise-grade solutions

Connaissances

Python
SQL
Spark/PySpark
Executive presence
Strategic thinking
Leadership
Customer-facing
Mentoring
Cross-functional collaboration

Formation

Bachelor's or Master's in Computer Science/Engineering

Outils

Databricks Platform
Spark ecosystem

Description du poste

Databricks is seeking a Sr. Solutions Architect to lead the most complex engagements, drive consumption strategy, and own executive-level relationships across large accounts.

You will act as the technical authority, mentor teams, and architect multi-workload, real-time, and AI/ML scale solutions. You will collaborate with DSAs, SSAs, Partners, and Product to deliver enterprise-grade platforms, while shaping data governance, lakehouse patterns, and cloud-native architectures for sustained revenue

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