Databricks
Sr. Solutions Architect - Financial Services (Banking and Payments)
$219K–$301K
Connecticut +6 · Remote · Senior · Full-time · Posted Apr 15, 2026
- Location
- Connecticut
Massachusetts
New York
North Carolina
St. Louis, Missouri
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 strategy while advising executives and coordinating delivery teams.
What you'll do
- Drive technical and consumption strategy for complex engagements, including migrations, real-time systems, and AI/ML platforms.
- Advise senior customer stakeholders on enterprise data and AI strategy; develop competitive positioning and account plans.
- Coordinate cross-functional teams, mentor junior architects, and contribute customer-facing thought leadership.
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; live coding assessment and platform build required during interviews.
- Deep expertise in enterprise data architecture and expert-level Databricks Platform knowledge, or equivalent competing-platform depth with demonstrated rapid learning.
- Proven record of driving platform adoption and consumption growth in large accounts, with executive influence and experience leading competitive displacements and 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 expertise.
Pay
$219,100 — $301,300 USD (salary range for non-commissionable roles or on-target earnings for commissionable roles; role classification not specified)
Tools
Databricks Platform, Python, SQL, Spark/PySpark
AI focus
Advise on enterprise data and AI strategy and lead architecture engagements involving AI/ML at scale.
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