Senior Solutions Architect

Austin · Chicago · Dallas · Phoenix · United States · Texas · USD 219,100-301,300 / year · 8+ years experience · Remote · Posted Oct 6, 2026

At a glance

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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 operate at the intersection of deep technical expertise, strategic account planning, and executive influence.

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.

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.
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.

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