Senior Solutions Architect

Sr. Solutions Architect (L6)

The Role As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence.

The Impact You Will Have Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth.

Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy

Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale

Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms

Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions

Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization

Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement

What We Look For8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview

Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms

Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability)
Declared technical specialization with recognized depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions

Proven track record of driving consumption growth and platform adoption in large accounts

Executive presence — ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy

Experience leading competitive displacements and complex enterprise evaluations

Strong strategic thinking — connecting technical architecture decisions to business outcomes and revenue impact

Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued

Nice to Have:

Databricks certifications

Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company

Published thought leadership (blogs, conference talks, open source contributions)
Industry vertical expertise with executive-level domain credibility

Interview Process:
Recruiter Screen Hiring Manager Screen Design and Architecture Interview Live Coding Assessment Build, Demo, Pitch! Presentation Reference Check Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not…