Senior Solutions Architect: Enterprise Data & AI Strategy

Cacheflow; Massachusetts; On-site; USD 219,000 - 301,000; Full time

Job summary

Databricks is seeking a Sr. Solutions Architect to lead the organization's most complex customer engagements, owning executive relationships and serving as the definitive technical authority.

You will drive consumption strategy, mentor junior SAs, and orchestrate cross-functional teams to deliver enterprise-grade, data-and-AI-driven solutions. The role requires 8+ years in senior technical roles, expert Python/SQL coding, and deep enterprise data architecture experience.

Qualifications

• 8+ years in solutions architecture or senior, customer-facing technical roles.
• Expert-level coding proficiency in Python and SQL; Spark/PySpark preferred.
• Deep enterprise data architecture experience and cloud-native platforms.
• Declared technical specialization with executive influence and strategic outlook.

Responsibilities

• Drive technical and consumption strategy for complex engagements.
• Own senior-level technical relationships and act as trusted advisor.
• Lead multi-workload architecture engagements and migrations.
• Mentor junior SAs (L3–L5) on technical depth and engagement skills.
• Contribute to field engineering content and customer workshops.

Skills

Solutions architecture

Executive relationships

Python

SQL

Spark/PySpark

Enterprise data architecture

Databricks Platform knowledge

Strategic account planning

Mentoring junior SAs

Cross-functional leadership

Education

Bachelor's or Master's in Computer Science or Engineering

Tools

Databricks Platform

Cloud platforms familiarity

Job description

Databricks is seeking a Sr. Solutions Architect to lead the organization's most complex customer engagements, owning executive relationships and serving as the definitive technical authority.

You will drive consumption strategy, mentor junior SAs, and orchestrate cross-functional teams to deliver enterprise-grade, data-and-AI-driven solutions. The role requires 8+ years in senior technical roles, expert Python/SQL coding, and deep enterprise data architecture experience.