Lead Data & AI Solutions Architect

Neon

Massachusetts

On-site

USD 180,000 - 248,000

Full time

5 days ago
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Job summary

Databricks is seeking a Solutions Architect (L5) to own the technical strategy for customers, driving platform adoption and serving as a trusted advisor to technical leads and architects. You will lead architecture discussions, design scalable production-grade solutions, and coordinate cross-functional teams across data engineering, ML/AI, and real-time analytics.

You will develop a specialization in a domain, influence product direction with customer feedback, and work with customers on

Qualifications

  • 6+ years in solutions architecture or related senior technical roles.
  • Proficiency in Python and SQL with live coding skills.
  • Expertise in distributed data systems and lakehouse patterns.
  • Experience with production deployments on AWS, Azure or GCP.
  • Ability to lead architecture discussions with senior stakeholders.
  • Bachelor's or Master's in CS/Engineering or related field.

Responsibilities

  • Own end-to-end technical strategy for accounts from discovery to deployment.
  • Lead complex architecture discussions across data engineering, ML/AI, and analytics.
  • Advise customer architects, engineering leads, and Directors.
  • Drive platform adoption and consumption growth within accounts.
  • Coordinate cross-functional resources to deliver comprehensive solutions.
  • Provide feedback on customer requirements to influence product direction.

Skills

Python
SQL
Cloud platforms
Databricks Platform
Architecture discussions
Communication skills

Education

Bachelor's or Master's degree in CS/Engineering or quantitative discipline

Tools

Databricks Platform
AWS
Azure
GCP

Job description

Databricks is seeking a Solutions Architect (L5) to own the technical strategy for customers, driving platform adoption and serving as a trusted advisor to technical leads and architects. You will lead architecture discussions, design scalable production-grade solutions, and coordinate cross-functional teams across data engineering, ML/AI, and real-time analytics.

You will develop a specialization in a domain, influence product direction with customer feedback, and work with customers on

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