Fintech Solutions Architect: Data & AI Strategy Lead

Databricks Inc.; New York (NY); On-site; USD 180,000 - 248,000; Full time

Job summary

Databricks is seeking a Solutions Architect to lead the technical strategy for customers, owning architecture discussions and driving platform adoption. You will combine deep technical expertise with strategic thinking to position Databricks as the foundation of customer data and AI strategy, developing a specialization valued across the team.

You will influence product direction, work with senior stakeholders, and orchestrate cross-functional resources to deliver comprehensive solutions in data

Qualifications

• Minimum 6+ years in solutions architecture or similar senior technical roles.
• Proven ability to lead architecture discussions and whiteboard complex designs.
• Experience deploying to public clouds (AWS/Azure/GCP) and driving platform adoption.

Responsibilities

• Own end-to-end technical strategy for accounts from discovery to production deployment.
• Lead architecture discussions across data engineering, ML/AI, and real-time analytics.
• Advise customer technical leads, architects, and Directors with trusted guidance.
• Drive technical wins by showcasing Databricks differentiation with custom solutions.
• Develop a growing technical specialization within the team.
• Coordinate cross-functional resources to deliver complex customer solutions.

Skills

Python

SQL

Solutions architecture

Distributed data systems

Live coding

Cloud platforms

Data engineering

Communication

Leadership

Education

Bachelor's or Master's in CS/Engineering or quantitative field

Tools

Databricks Platform

AWS

Azure

GCP

Job description

Databricks is seeking a Solutions Architect to lead the technical strategy for customers, owning architecture discussions and driving platform adoption. You will combine deep technical expertise with strategic thinking to position Databricks as the foundation of customer data and AI strategy, developing a specialization valued across the team.

You will influence product direction, work with senior stakeholders, and orchestrate cross-functional resources to deliver comprehensive solutions in data