Senior Solutions Architect, Strategic Accounts (Remote)

Software; San Francisco (CA); Remote; USD 219,000 - 301,000; Full time

Job summary

Databricks is seeking a Sr. Solutions Architect for Digital Native Business (Strategic Accounts). You will lead the most complex customer engagements, drive consumption and platform adoption, and act as a trusted technical authority for executive-level stakeholders.

You will mentor SAs, influence cross-functional teams, and shape enterprise-scale data/AI strategies across multi-workload environments. A strong foundation in Python/SQL and Spark is required.

Qualifications

• 8+ years in solutions architecture, principal engineering, or senior technical role.
• Expert-level coding proficiency in Python and SQL; Spark/PySpark.
• Deep enterprise data architecture experience: distributed systems, streaming, lakehouse design, governance.
• Expert Databricks Platform knowledge or equivalent depth in competing platforms.

Responsibilities

• Drive technical and consumption strategy for the most complex customer engagements.
• Own senior-level technical relationships with executives on data/AI strategy.
• Lead complex architecture engagements across multi-workload platforms and migrations.
• Mentor junior SAs and drive cross-functional collaboration across teams.
• Contribute to Field Engineering thought leadership through customer content and workshops.

Skills

Python

SQL

Spark/PySpark

Executive presence

Strategic thinking

Data strategy

Consumption growth

Education

Bachelor's or Master's in CS/Engineering

Tools

Databricks Platform

Job description

Databricks is seeking a Sr. Solutions Architect for Digital Native Business (Strategic Accounts). You will lead the most complex customer engagements, drive consumption and platform adoption, and act as a trusted technical authority for executive-level stakeholders.

You will mentor SAs, influence cross-functional teams, and shape enterprise-scale data/AI strategies across multi-workload environments. A strong foundation in Python/SQL and Spark is required.