Solutions Architect - Data & AI Platform Strategy

Neon

Massachusetts

On-site

USD 180,000 - 248,000

Full time

7 days ago
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Job summary

Databricks is seeking a Solutions Architect to lead technical strategy for customers, owning architecture discussions and driving platform adoption. You will partner with customer technical leads and architects to position Databricks as the foundation of data and AI strategy, developing an archetype in a focused domain.

You will orchestrate cross-functional resources and influence product direction while delivering scalable, production-grade solutions across data engineering, ML/AI, and

Qualifications

  • 6+ years in solutions architecture or related roles
  • Strong coding in Python and SQL with live coding and debugging
  • Deep expertise in distributed data systems architecture
  • Proven ability to lead architecture discussions with senior stakeholders
  • Experience with production deployments on AWS, Azure, or GCP

Responsibilities

  • Own end-to-end technical strategy for accounts from discovery to deployment
  • Lead complex architecture discussions spanning data engineering, ML/AI, and real-time analytics
  • Advise customer architects, engineering leads, and Directors
  • Drive technical wins by demonstrating Databricks differentiation through custom solutions
  • Develop emerging technical specialization and become a go-to resource
  • Coordinate cross-functional resources to deliver complex customer solutions
  • Influence product direction with customer requirements and competitive feedback

Skills

Solutions architecture
Data engineering
Technical pre-sales
Python
SQL
Distributed data systems
Cloud platforms
Communication skills

Education

Bachelor's or Master's degree in Computer Science/Engineering or quantitative field

Tools

Databricks Platform

Job description

Databricks is seeking a Solutions Architect to lead technical strategy for customers, owning architecture discussions and driving platform adoption. You will partner with customer technical leads and architects to position Databricks as the foundation of data and AI strategy, developing an archetype in a focused domain.

You will orchestrate cross-functional resources and influence product direction while delivering scalable, production-grade solutions across data engineering, ML/AI, and

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