Senior Solutions Architect - Enterprise AI & Data Strategy

Databricks Inc.; Chicago (IL); On-site; USD 219,000 - 301,000; Full time

Job summary

Databricks Inc. in Chicago seeks a Sr. Solutions Architect to lead the most complex customer engagements and drive platform adoption. You will own executive relationships and serve as the definitive technical authority for your accounts.

You will mentor junior SAs, orchestrate cross-Functional teams, and develop competitive strategies while aligning technical decisions with business outcomes across multi-workload environments.

Qualifications

• 8+ years in solutions architecture or senior technical role
• Expert-level coding: Python, SQL, Spark/PySpark
• Enterprise data architecture: distributed systems, streaming, lakehouse patterns
• Databricks Platform knowledge or equivalent depth
• Declared technical specialization with depth in real-time/ML/AI or migrations
• Proven track record of driving consumption growth and platform adoption
• Executive presence with C-level engagement
• Advanced degree valued (MS/PhD)

Responsibilities

• Drive technical and consumption strategy for complex engagements
• Own senior-level technical relationships and advise on data/AI strategy
• Lead architecture engagements across multi-workload platforms and migrations
• Mentor SAs on depth, engagement, and use-case prioritization
• Contribute to field engineering thought leadership via content and workshops

Skills

Solutions architecture leadership

Python/SQL/PySpark

Enterprise data architecture

Databricks platform knowledge

Executive stakeholder influence

Consumption growth strategy

Mentoring junior SAs

Education

Bachelor's or Master's in CS/Engineering/quantitative field

Tools

Databricks certifications

Job description

Databricks Inc. in Chicago seeks a Sr. Solutions Architect to lead the most complex customer engagements and drive platform adoption. You will own executive relationships and serve as the definitive technical authority for your accounts.

You will mentor junior SAs, orchestrate cross-Functional teams, and develop competitive strategies while aligning technical decisions with business outcomes across multi-workload environments.