Senior Solutions Architect (Banking, Financial Services)

The role

You will drive technical and consumption strategy for complex customer engagements. You will own senior-level technical relationships and lead architecture engagements involving multi-workload platforms, migrations, and AI/ML at scale.

What you will do

• Drive technical and consumption strategy for complex customer engagements
• Own senior-level technical relationships as a trusted advisor
• Lead complex architecture engagements including migrations and real-time systems
• Operate as an expert on the Databricks Platform and mentor others
• Develop and execute competitive strategies for customers
• Orchestrate cross-functional teams to deliver enterprise-grade solutions
• Coach and develop junior SAs
• Contribute to Field Engineering thought leadership

Required qualifications

• 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
• Deep expertise in enterprise data architecture including distributed systems, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms
• Expert-level Databricks Platform knowledge or equivalent depth in competing platforms
• Declared technical specialization with recognized depth
• Proven track record of driving consumption growth and platform adoption in large accounts
• Executive presence to influence Directors, VPs, and C-level stakeholders
• Experience leading competitive displacements and complex enterprise evaluations
• Strong strategic thinking
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline or equivalent experience

Nice to have

• Databricks certifications
• Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company
• Published thought leadership (blogs, conference talks, open source contributions)
• Industry vertical expertise with executive-level domain credibility
• Advanced degrees are valued

Before you apply

• You will complete a live coding assessment and a platform build during the interview
• Interview Process: Recruiter Screen, Hiring Manager Screen, Design and Architecture Interview, Live Coding Assessment, Build, Demo, Pitch! Presentation, and Reference Check

About the company

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.