Fintech Solutions Architect: Real‑Time Data & AI Strategy

Databricks; Clifton (TX); On-site; USD 180,000 - 248,000; Full time

Job summary

Databricks is seeking a Solutions Architect in the United States to lead the technical strategy for customers, owning architecture discussions and driving platform adoption. You will be a trusted advisor to customer technical leads and architects, focusing on data and AI strategy within Fintech use cases.

You will design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics, and influence product direction through customer feedback and competitive gaps.

Qualifications

• 6+ years in solutions architecture or similar senior technical role.
• Strong coding proficiency in Python and SQL with live coding demonstrated.
• Deep expertise in distributed data systems and lakehouse patterns.
• Experience with production deployments on public cloud (AWS/Azure/GCP).
• Excellent communicator able to translate architecture to business value.

Responsibilities

• Own end-to-end technical strategy for accounts from discovery to deployment and growth.
• Lead complex architecture discussions spanning data engineering, ML/AI, and real-time analytics.
• Serve as trusted technical advisor to customer architects and leads.
• Drive technical wins through custom-built solutions and differentiators.
• Develop emerging technical specialization and be a go-to resource for the team.
• Coordinate cross-functional resources to deliver solutions for complex needs.
• Influence product direction with customer feedback and competitive gaps.

Skills

Python

SQL

Distributed data systems

Databricks Platform

Architecture discussions

Cloud deployments (AWS/Azure/GCP)

Live coding

Communication to executives

Education

Bachelor's or Master's in CS/Engineering

Tools

Databricks Platform

AWS/Azure/GCP

Job description

Databricks is seeking a Solutions Architect in the United States to lead the technical strategy for customers, owning architecture discussions and driving platform adoption. You will be a trusted advisor to customer technical leads and architects, focusing on data and AI strategy within Fintech use cases.

You will design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics, and influence product direction through customer feedback and competitive gaps.