Databricks
Sr. Solutions Architect - Travel and Hospitality
$219K–$301K
Austin, Texas +4 · Remote · Senior · Full-time · Posted Oct 29, 2026
- Location
- Austin, Texas
Chicago, Illinois
Dallas, Texas
Remote - Texas
Remote - California - Experience
- 8+ years; listed alternatives are solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
- Education
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued.
About the job
Leads complex customer engagements as a technical authority, shaping Databricks adoption and consumption strategy, advising executives, and guiding enterprise data and AI architecture.
What you'll do
- Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
- Build executive relationships, drive platform adoption, and develop competitive strategies for customer accounts.
- Coordinate cross-functional teams, mentor junior solutions architects, and contribute customer-facing technical content.
What they ask for
- 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
- Expert-level coding proficiency in Python and SQL; ideally Spark/PySpark.
- Deep expertise in enterprise data architecture and expert-level Databricks Platform knowledge, or equivalent depth in competing platforms with demonstrated rapid learning ability.
- Track record driving consumption growth and adoption in large accounts, leading competitive displacements and complex enterprise evaluations, and influencing senior executives.
Nice to have
- Databricks certifications.
- Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company; published thought leadership or industry vertical expertise.
Pay
$219,100 — $301,300 USD (salary range for non-commissionable roles or on-target earnings for commissionable roles)
Tools
Python, SQL, Spark/PySpark, Databricks Platform
AI focus
Advises customers on enterprise data and AI strategy and leads architecture engagements involving AI/ML at scale.
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