CPG Solutions Architect: Data, AI & Real-Time Platform

Databricks Inc.

Washington (District of Columbia)

On-site

USD 180,000 - 248,000

Full time

11 days ago

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Job summary

Databricks Inc. is seeking a Solutions Architect (L5) to lead the technical strategy for customers, steering architecture discussions and driving platform adoption across data engineering, ML/AI, and real-time analytics.

You will partner with customer leads to position Databricks as the foundation of their data and AI strategy and develop an emerging technical specialization within the team. You will own end-to-end technical strategy, orchestrate cross-functional resources, and influence product

Qualifications

  • 6+ years in solutions architecture, data engineering, or similar
  • Strong coding in Python and SQL with live coding and debugging
  • Deep expertise in distributed data systems and lakehouse patterns
  • Proficiency with the Databricks Platform and cloud deployments
  • Ability to lead architecture discussions with senior stakeholders
  • Bachelor's or Master's in CS/Engineering or quantitative discipline

Responsibilities

  • Own end-to-end technical strategy for accounts from discovery to production deployment
  • Lead complex architecture discussions across data engineering, ML/AI, and analytics
  • Serve as trusted advisor to customer architects and engineering leads
  • Demonstrate Databricks differentiation through custom-built solutions
  • Develop technical specialization and become go-to resource in domain
  • Coordinate cross-functional resources to deliver complex solutions
  • Influence product direction with customer feedback and gaps

Skills

Python
SQL
Distributed data systems
Cloud platforms (AWS/Azure/GCP)
Databricks Platform
Live coding

Education

Bachelor's or Master's in CS/Engineering/Quantitative field

Tools

Databricks Platform
Snowflake
AWS/Azure/GCP

Job description

Databricks Inc. is seeking a Solutions Architect (L5) to lead the technical strategy for customers, steering architecture discussions and driving platform adoption across data engineering, ML/AI, and real-time analytics.

You will partner with customer leads to position Databricks as the foundation of their data and AI strategy and develop an emerging technical specialization within the team. You will own end-to-end technical strategy, orchestrate cross-functional resources, and influence product

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