Senior Solutions Architect (Banking, Financial Services)

Highlights

• Drive technical strategy for Databricks' most complex banking customer engagements.
• Lead enterprise-wide migrations and real-time systems at scale.
• Orchestrate cross-functional teams to deliver enterprise-grade solutions.

Ideal candidate

An expert technical leader who thrives advising executives and shaping data and AI strategy in banking. You love tackling the most complex challenges and multiplying impact by mentoring others.

Requirements

• 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or senior customer-facing technical role
• Expert-level coding proficiency in Python, SQL, and ideally Spark/PySpark
• Deep expertise in enterprise data architecture: distributed systems at scale, streaming, lakehouse design, governance and cloud-native platforms
• Expert-level Databricks Platform knowledge or equivalent depth in competing platforms
• Declared technical specialization e.g. real-time architectures, ML/AI platforms, governance, large-scale migrations or industry solutions
• Proven track record driving consumption growth and platform adoption in large accounts
• Executive presence influencing Directors, VPs and C-level stakeholders on data and AI strategy
• Experience leading competitive displacements and complex enterprise evaluations
• Bachelor's or Master's degree in Computer Science, Engineering, or quantitative discipline or equivalent experience