Senior Solutions Architect, Data & AI Platform

Databricks Inc.; Chicago, New York (IL, NY, TN); Híbrido; USD 180.000 - 248.000; Jornada completa

Descripción de la vacante

Databricks Inc. in Chicago, IL, is seeking a Solutions Architect (L5) to lead the technical strategy for Retail accounts, owning architecture discussions and driving platform adoption.

You will partner with customer technical leads to design scalable, production-grade data and AI solutions spanning data engineering, ML/AI, and real-time analytics. The role requires strong Python and SQL coding skills, deep distributed data expertise, and experience deploying on AWS, Azure, or GCP.

Formación

• 6+ years in solutions architecture or senior technical role.
• Proficient in Python and SQL with live coding ability.
• Expertise in distributed data systems, pipelines, streaming, lakehouse patterns.
• Experience with production deployments on AWS, Azure or GCP.
• Strong communication to translate complex architectures to executives.

Responsabilidades

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

Conocimientos

Python

SQL

Data architecture

Cloud deployments

Communication

Pre-sales

Educación

Bachelor's or Master's degree in Computer Science, Engineering, or quantitative discipline

Herramientas

Databricks Platform

AWS/Azure/GCP

Descripción del empleo

Databricks Inc. in Chicago, IL, is seeking a Solutions Architect (L5) to lead the technical strategy for Retail accounts, owning architecture discussions and driving platform adoption.

You will partner with customer technical leads to design scalable, production-grade data and AI solutions spanning data engineering, ML/AI, and real-time analytics. The role requires strong Python and SQL coding skills, deep distributed data expertise, and experience deploying on AWS, Azure, or GCP.