Senior Solutions Architect

Sr. Solutions Architect (L6)

The Role

As a Sr. Solutions Architect you are an expert-level technical leader responsible for the organizations 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 archetypea 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 organizations 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 (L3L5) 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 For

• 8 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
• Bachelors or Masters 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

Required Experience:

Senior IC