Sr. Solutions Architect - Agencies

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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 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


• 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