Senior Solutions Architect: Strategic Accounts (AI/Data)

Databricks

Washington (District of Columbia)

On-site

USD 219,000 - 301,000

Full time

6 days ago
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Benefits offered by this job

Databricks certifications
Experience at leading data/AI vendors
Thought leadership publications

Job summary

Databricks is seeking a Sr. Solutions Architect to lead the most complex strategic customer engagements within the Digital Native Business.

You will drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You will orchestrate cross-functional teams, mentor junior SAs, and shape enterprise data and AI strategies—from multi-workload platforms to real-time migrations and scale-ready lakehouse designs—to accelerate platform

Qualifications

  • 8+ years in solutions architecture or senior technical pre-sales leadership.
  • Expert-level coding proficiency in Python and SQL; Spark/PySpark preferred.
  • Deep enterprise data architecture experience, lakehouse design patterns, and cloud platforms.

Responsibilities

  • Drive technical and consumption strategy for the most complex customer engagements.
  • Own senior-level technical relationships and act as trusted advisor on data/AI strategy.
  • Lead multi-workload platforms, migrations, real-time systems, and AI/ML at scale.
  • Mentor junior SAs (L3–L5) and contribute to field engineering thought leadership.
  • Orchestrate cross-functional teams to deliver enterprise-grade solutions.

Skills

Python
SQL
Spark/PySpark
Executive presence
Strategic thinking
Leadership

Education

Bachelor's or Master's in CS/Engineering

Job description

Databricks is seeking a Sr. Solutions Architect to lead the most complex strategic customer engagements within the Digital Native Business.

You will drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You will orchestrate cross-functional teams, mentor junior SAs, and shape enterprise data and AI strategies—from multi-workload platforms to real-time migrations and scale-ready lakehouse designs—to accelerate platform

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