Sr. Solutions Architect - Financial Services (Banking and Payments)

Highlights

• Lead enterprise-wide migrations and multi-workload platforms for banking clients.
• Drive data and AI strategy as trusted advisor to financial services executives.
• Orchestrate cross-functional teams to deliver enterprise-grade AI solutions at scale.

What they offer

• Annual performance bonus
• Equity
• Comprehensive benefits

Ideal candidate

Strategic, executive-facing technologist who loves solving complex enterprise challenges and mentoring others while driving data and AI adoption in banking.

Requirements

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