Senior Solutions Architect: Data & AI Platform Strategy

Databricks Inc.; New York (NY, PA); Híbrido; USD 180 000 - 248 000; Tempo integral

Resumo da oferta

Databricks is hiring a Solutions Architect for the Digital Native Business (Geo) to own the end-to-end technical strategy for accounts, from discovery through production deployment and consumption growth. You will lead architecture discussions for scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics.

You will act as a trusted advisor to customer architects and Directors, driving platform adoption and providing feedback for product direction.

Qualificações

• 6+ years in solutions architecture or senior technical roles.
• Strong Python and SQL coding with live coding and debugging.
• Deep expertise in distributed data systems, pipelines, 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.

Responsabilidades

• Own end-to-end technical strategy for accounts from discovery to production deployment.
• Lead architecture discussions and design scalable, production-grade solutions.
• Serve as a trusted technical advisor to customer architects, engineering leads, and Directors.
• Drive technical wins by showcasing Databricks’ differentiation through custom solutions.
• Develop a growing technical specialization for the team in a domain.
• Orchestrate cross-functional resources to deliver complex customer solutions.

Conhecimentos

Python programming

SQL

Solutions architecture

Cloud platforms

Data engineering

ML/AI knowledge

Formação académica

Bachelor's degree in Computer Science or related field

Master's degree (preferred)

Ferramentas

Databricks Platform

Jupyter/Notebooks

Descrição da oferta de emprego

Databricks is hiring a Solutions Architect for the Digital Native Business (Geo) to own the end-to-end technical strategy for accounts, from discovery through production deployment and consumption growth. You will lead architecture discussions for scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics.

You will act as a trusted advisor to customer architects and Directors, driving platform adoption and providing feedback for product direction.