Databricks
Sr. Solutions Architect - Financial Services (Hunter)
$219K–$301K
Georgia +8 · Remote · Senior · Full-time · Posted Aug 18, 2026
- Location
- Georgia
Illinois
Massachusetts
New York
North Carolina
Texas
Virginia
Washington, D.C.
Remote - New York - Experience
- 8+ years; qualifying fields include 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 financial-services customer engagements, shaping Databricks adoption and architecture while advising executives and coordinating teams to deliver enterprise data and AI solutions.
What you'll do
- Drive technical and consumption strategy for complex customer engagements and advise senior stakeholders on enterprise data and AI strategy.
- Lead architecture engagements, competitive strategies, and cross-functional delivery; mentor junior Solutions Architects.
- Contribute customer-facing thought leadership through content, workshops, and community engagement.
What they ask for
- 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
- Expert coding proficiency in Python and SQL; live coding assessment and platform build required during the interview.
- Deep expertise in enterprise data architecture and expert-level Databricks Platform knowledge, or equivalent depth in competing platforms with demonstrated rapid learning ability.
- Proven record of driving consumption growth and adoption in large accounts, influencing executives, and leading competitive displacements and complex enterprise evaluations.
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; role-specific basis not stated).
Tools
Python, SQL, Spark/PySpark, Databricks Platform
AI focus
Advise customers on enterprise data and AI strategy; lead AI/ML-at-scale architecture engagements and support platform adoption.
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