Senior Solutions Architect: Enterprise AI Strategy

Databricks Inc.; Austin (TX); Presencial; USD 219 000 - 301 000; Tempo integral

Resumo da oferta

Databricks Inc. is seeking a Sr. Solutions Architect (L6) in the United States. You will lead the most complex customer engagements, shape consumption strategy, and own executive relationships, serving as the definitive technical authority across accounts.

You will influence platform adoption, mentor teams, and drive real‑world data and AI solutions at scale. A strong background in cloud data architectures and enterprise deployments is expected.

Qualificações

• 8+ years in solutions architecture or senior technical pre‑sales.
• Expert Python and SQL coding; Spark/PySpark preferred.
• Deep enterprise data architecture and cloud‑native design.
• Proven track record driving consumption growth and platform adoption.
• Executive presence to influence Directors, VPs, and C‑level stakeholders.

Responsabilidades

• Drive technical and consumption strategy for complex engagements.
• Own senior‑level technical relationships as trusted advisor.
• Lead complex architecture engagements across platforms and migrations.
• Mentor junior SAs and contribute to Field Engineering thought leadership.
• Coordinate cross‑functional teams to deliver enterprise‑grade solutions.
• Develop competitive strategies and demonstrate business impact.

Conhecimentos

Solutions architecture

Executive relationships

Cloud data platforms

Python

SQL

Spark/PySpark

Formação académica

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

Ferramentas

Databricks Platform

Descrição da oferta de emprego

Databricks Inc. is seeking a Sr. Solutions Architect (L6) in the United States. You will lead the most complex customer engagements, shape consumption strategy, and own executive relationships, serving as the definitive technical authority across accounts.

You will influence platform adoption, mentor teams, and drive real‑world data and AI solutions at scale. A strong background in cloud data architectures and enterprise deployments is expected.