Fintech Solutions Architect: Data & AI Strategy Leader

Neon; Massachusetts; Presencial; USD 180.000 - 248.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Certifications (Databricks)

Career development

Descripción de la vacante

Databricks seeks a Solutions Architect to lead the technical strategy for customers, driving platform adoption and serving as a trusted advisor to customer technical leads and architects.

You will own end-to-end technical strategy, lead architecture discussions, and collaborate with cross-functional teams to deliver scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics.

Formación

• 6+ years in solutions architecture, data engineering, technical pre-sales, or senior hands-on technical role.
• Strong coding proficiency in Python and SQL with live-coding, debugging, and solution-building demonstrated.

Responsabilidades

• Own the end-to-end technical strategy for accounts from discovery to production deployment.
• Lead complex architecture discussions for scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics.
• Serve as a trusted technical advisor to customer architects and engineering leads.
• Drive technical wins by demonstrating differentiation through custom-built solutions.
• Orchestrate cross-functional resources to deliver comprehensive solutions for complex customer needs.
• Influence product direction by providing feedback on customer requirements and competitive gaps.

Conocimientos

Python

SQL

Data architecture

Architectural leadership

Live coding

Executive communication

Educación

Bachelor's or Master's in CS/Engineering

Herramientas

Databricks platform

AWS

Azure

GCP

Descripción del empleo

Databricks seeks a Solutions Architect to lead the technical strategy for customers, driving platform adoption and serving as a trusted advisor to customer technical leads and architects.

You will own end-to-end technical strategy, lead architecture discussions, and collaborate with cross-functional teams to deliver scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics.