Senior Solutions Architect
Primary stack
Nice to have's
Job description
About the Position
Senior Solutions Architect
Austin, Texas; Chicago, Illinois; Dallas, Texas; Phoenix, Arizona; United States
Responsibilities
As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. Your responsibilities include:
- Driving the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth.
- Owning senior-level technical relationships - serving as a trusted advisor on enterprise data and AI strategy.
- Leading the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale.
- Operating as an Expert on the Databricks Platform with a declared archetype - actively mentoring others and driving horizontal impact across your team.
- Developing and executing competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms.
- Orchestrating cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions.
- Coaching and developing junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization.
- Contributing to Field Engineering thought leadership through customer-facing content, workshops, and community engagement.
Requirements
- 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.
We Offer
- Competitive salary range: $219,100-$301,300 USD.
- Comprehensive benefits package.
- Opportunity to work with cutting-edge technologies and a leading Data and AI company.
About the Company
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.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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