Sr. Solutions Architect - Travel and Hospitality

Databricks • Chicago, IL

7d

About The Position

The Sr. Solutions Architect (L6) is an expert-level technical leader responsible for the organization’s most complex customer engagements. The role drives consumption strategy, owns executive-level relationships, and serves as the definitive technical authority for assigned accounts. The architect declares a technical archetype—a recognized specialization that creates impact across the team and region—and works across deep technical expertise, strategic account planning, and executive influence.

The role leads technical and consumption strategy for complex engagements, advises customers on enterprise data and AI strategy, and leads architecture work spanning multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale. It also includes developing competitive strategies, orchestrating cross-functional teams, coaching junior solutions architects, and contributing to Field Engineering thought leadership through customer-facing content, workshops, and community engagement.

Requirements

• At least 8 years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
• Expert-level coding proficiency in Python and SQL; Spark/PySpark is ideally also required. The interview includes a live coding assessment and a platform build.
• Deep expertise in enterprise data architecture, including distributed systems at scale, streaming/real-time systems, lakehouse design patterns, data governance frameworks, and cloud-native platforms.
• Expert-level Databricks Platform knowledge, or equivalent depth in competing platforms with demonstrated ability to learn rapidly.
• A declared technical specialization with recognized depth, such as 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 and 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, including 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.

Nice To Haves

• Advanced degree.
• Databricks certifications.
• Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company.
• Published thought leadership, such as blogs, conference talks, or open-source contributions.
• Industry vertical expertise with executive-level domain credibility.

Responsibilities

• Drive technical and consumption strategy for complex customer engagements, influencing platform adoption and revenue growth.
• Own senior-level technical relationships and advise customers on enterprise data and AI strategy.
• Lead complex architecture engagements involving multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale.
• Serve as an expert on the Databricks Platform with a declared technical archetype, mentoring others and driving impact across the team.
• Develop and execute competitive strategies, positioning Databricks against incumbent and emerging platforms.
• Orchestrate cross-functional teams, including DSAs, SSAs, partners, and Product, to deliver enterprise-grade solutions.
• Coach and develop junior SAs (L3–L5) in technical depth, customer engagement, and use-case prioritization.
• Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior