Senior Solutions Architect — Data & AI Platform Strategy

Databricks

Bellevue (WA)

On-site

USD 180,000 - 248,000

Full time

5 days ago
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Job summary

Databricks is seeking a Solutions Architect to lead the technical strategy for customers, owning architecture discussions and driving platform adoption. You will serve as a trusted advisor to customer technical leads and architects, combining deep technical expertise with strategic thinking to position Databricks as the foundation of customers’ data and AI strategy.

You will develop a specialization in a domain and orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver complex

Qualifications

  • 6+ years in solutions architecture or senior technical roles.
  • Strong Python and SQL coding skills.
  • Expertise in distributed data systems architecture and cloud data platforms.
  • Proven ability to lead architecture discussions with executives.

Responsibilities

  • Own end-to-end technical strategy for accounts from discovery to production deployment.
  • Lead complex architecture discussions for scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics.
  • Serve as trusted technical advisor to customer architects, engineering leads, and Directors.
  • Drive technical wins by demonstrating Databricks’ differentiation with custom-built solutions.
  • Develop an emerging technical specialization to become a go-to resource for the team.
  • Coordinate cross-functional resources to deliver comprehensive solutions for complex needs.
  • Influence product direction with feedback on requirements and gaps.

Skills

Python
SQL
Solutions architecture
Data engineering
Live coding
Cloud platforms

Education

Bachelor's/Master's in CS/Engineering

Tools

Databricks Platform
Snowflake
Kubernetes

Job description

Databricks is seeking a Solutions Architect to lead the technical strategy for customers, owning architecture discussions and driving platform adoption. You will serve as a trusted advisor to customer technical leads and architects, combining deep technical expertise with strategic thinking to position Databricks as the foundation of customers’ data and AI strategy.

You will develop a specialization in a domain and orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver complex

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