Senior Solutions Architect, Data & AI for Banking

Databricks Inc.; New York (NY); On-site; USD 219,000 - 301,000; Full time

Job summary

Databricks is seeking a Sr. Solutions Architect to lead the most complex customer engagements and drive consumption strategy. You will own executive-level relationships and serve as the definitive technical authority for accounts. Your archetype will guide a team across data, AI, and platform initiatives.

You will mentor other SAs, orchestrate cross-functional teams, and influence platform adoption and revenue growth. Strong data architecture and cloud-native expertise are essential.

Qualifications

• 8+ years in solutions architecture or senior technical roles.
• Expert-level coding proficiency in Python and SQL; Spark/PySpark experience.
• Deep enterprise data architecture and cloud-native platforms.
• Executive presence with ability to influence Directors, VPs and C-levels.

Responsibilities

• Drive the technical and consumption strategy for the most complex engagements.
• Own senior-level technical relationships and act as a trusted advisor on data and AI strategy.
• Lead multi-workload architecture engagements and enterprise migrations at scale.
• Mentor junior SAs and contribute to Field Engineering thought leadership.
• Coordinate cross-functional teams to deliver enterprise-grade Databricks solutions.

Skills

Python

SQL

Spark/PySpark

Databricks Platform knowledge

Executive engagement

Pre-sales leadership

Cloud platforms

Mentoring others

Education

Bachelor's or Master's in Computer Science / Engineering / quantitative discipline

Job description

Databricks is seeking a Sr. Solutions Architect to lead the most complex customer engagements and drive consumption strategy. You will own executive-level relationships and serve as the definitive technical authority for accounts. Your archetype will guide a team across data, AI, and platform initiatives.

You will mentor other SAs, orchestrate cross-functional teams, and influence platform adoption and revenue growth. Strong data architecture and cloud-native expertise are essential.