Senior Solutions Architect — Enterprise Data & AI (Finance)

Cacheflow; Massachusetts; 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, shaping consumption strategy and executive-level partnerships. You will serve as the definitive technical authority across accounts and drive platform adoption at scale.

Responsibilities include guiding multi-workload architectures, migrations, and real-time systems while mentoring junior SAs. Fluency in Python/SQL and Spark/PySpark is essential, with Databricks platform expertise a strong plus.

Qualifications

• 8+ years in solutions architecture or senior technical pre-sales roles.
• Expert-level coding proficiency in Python, SQL, and Spark/PySpark; live coding during interview.
• Deep enterprise data architecture experience: distributed systems, real-time, lakehouse, data governance.

Responsibilities

• Drive the technical and consumption strategy for the organization's most complex customer engagements.
• Own senior-level technical relationships as trusted advisor on data and AI strategy.
• Lead multi-workload architecture engagements and enterprise migrations.
• Mentor junior SAs on technical depth and engagement strategy.

Skills

Executive-level leadership

Python

SQL

Spark/PySpark

Enterprise data architecture

Distributed systems

Platform adoption

Business strategy alignment

Education

Bachelor's or Master's degree in Computer Science, Engineering, or quantitative discipline

Tools

Databricks Platform

Cloud platforms (AWS/Azure/GCP)

Job description

Databricks is seeking a Sr. Solutions Architect to lead the most complex customer engagements, shaping consumption strategy and executive-level partnerships. You will serve as the definitive technical authority across accounts and drive platform adoption at scale.

Responsibilities include guiding multi-workload architectures, migrations, and real-time systems while mentoring junior SAs. Fluency in Python/SQL and Spark/PySpark is essential, with Databricks platform expertise a strong plus.