Lead Solutions Architect: Data & AI Platform Strategy

Warmada

Chicago, New York (IL, NY)

Hybrid

USD 180,000 - 248,000

Full time

6 days ago
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Job summary

Databricks is seeking a Solutions Architect (L5) to lead the technical strategy for customers, own architecture discussions, drive platform adoption, and act as a trusted advisor to customer technical leads and architects.

You will coordinate cross-functional resources and design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics, while influencing product direction with structured feedback.

Qualifications

  • 6+ years in solutions architecture, data engineering, technical pre-sales, or senior hands-on technical roles.
  • Strong coding proficiency in Python and SQL with live coding, debugging, and solution-building.
  • Deep expertise in distributed data systems architecture: pipelines, streaming, lakehouse, cloud-native platforms.
  • Proficient with the Databricks Platform and able to develop a technical specialization.
  • Experience leading architecture discussions with senior stakeholders and designing production-grade solutions.

Responsibilities

  • Own end-to-end technical strategy for accounts from discovery to production deployment.
  • Lead complex architecture discussions across data engineering, ML/AI, and real-time analytics.
  • Serve as a trusted technical advisor to customer architects and engineering leads.
  • Drive platform adoption and cross-functional delivery with DSAs, SSAs, and partners.

Skills

Python
SQL
Distributed data systems
Leadership
Live coding

Education

Bachelor's or Master's in Computer Science/Engineering

Tools

Databricks Platform

Job description

Databricks is seeking a Solutions Architect (L5) to lead the technical strategy for customers, own architecture discussions, drive platform adoption, and act as a trusted advisor to customer technical leads and architects.

You will coordinate cross-functional resources and design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics, while influencing product direction with structured feedback.

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