Senior Solutions Architect — Enterprise Data & AI Leader

Neon

Town of Texas (WI)

On-site

USD 219,000 - 301,000

Full time

4 days ago
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Job summary

Databricks is seeking a Sr. Solutions Architect (L6) to lead the most complex customer engagements, shaping consumption strategy and serving as the technical authority for accounts. You will drive platform adoption and architect enterprise-grade data/AI solutions at scale.

You will mentor peers, influence executive stakeholders, and collaborate with cross-functional teams to deliver real-world, mission-critical workloads on the Databricks Platform.

Qualifications

  • 8+ years in solutions architecture, principal engineering, or senior customer-facing technical role.
  • Expert-level coding proficiency—Python, SQL, and ideally Spark/PySpark.
  • Deep expertise in enterprise data architecture, distributed systems, streaming, lakehouse design, data governance, cloud-native platforms.
  • Executive presence with ability to influence Directors, VPs, and C-level stakeholders.

Responsibilities

  • Drive technical and consumption strategy for the most complex customer engagements, influencing platform adoption and revenue growth.
  • Own senior-level technical relationships as a trusted advisor on enterprise data and AI strategy.
  • Lead architecture engagements across multi-workload platforms, migrations, real-time systems, and AI/ML at scale.
  • Mentor junior SAs on technical depth, engagements, and use-case prioritization.

Skills

Python
SQL
Spark/PySpark
Databricks Platform
Executive presence

Education

Bachelor's or Master's degree in CS/Engineering

Tools

Databricks Platform

Job description

Databricks is seeking a Sr. Solutions Architect (L6) to lead the most complex customer engagements, shaping consumption strategy and serving as the technical authority for accounts. You will drive platform adoption and architect enterprise-grade data/AI solutions at scale.

You will mentor peers, influence executive stakeholders, and collaborate with cross-functional teams to deliver real-world, mission-critical workloads on the Databricks Platform.

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