Senior Solutions Architect - Data & AI for CPG

Databricks Inc.; New Jersey; Presencial; USD 180.000 - 248.000; Jornada completa

Descripción de la vacante

Databricks is seeking a Solutions Architect (L5) to own the technical strategy for accounts, guiding architecture discussions and platform adoption. You will collaborate with customer technology leads to design scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics.

You will lead architecture reviews, drive adoption, and advise executives on Databricks differentiation. A strong background in distributed data systems and cloud deployments is essential.

Formación

• 6+ years in solutions architecture or a senior technical role.
• Strong Python and SQL with live coding and debugging.
• Deep expertise in scalable distributed data architectures.
• Production deployments on AWS, Azure or GCP.
• Lead architecture discussions with senior stakeholders.
• Bachelor's or Master's in CS/Engineering or equivalent.

Responsabilidades

• 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 trusted advisor to customer architects and Directors.
• Drive technical wins with custom, differentiated Databricks solutions.
• Develop an emerging technical specialization for the team.
• Coordinate cross-functional resources to deliver complex solutions.
• Influence product direction with customer feedback.

Conocimientos

Solutions architecture

Python

SQL

Distributed data systems

Cloud deployments

Databricks platform

Architecture leadership

Communication skills

Educación

Bachelor's or Master's in CS/Engineering

Herramientas

Databricks Platform

Descripción del empleo

Databricks is seeking a Solutions Architect (L5) to own the technical strategy for accounts, guiding architecture discussions and platform adoption. You will collaborate with customer technology leads to design scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics.

You will lead architecture reviews, drive adoption, and advise executives on Databricks differentiation. A strong background in distributed data systems and cloud deployments is essential.