Strategic Data & AI Solutions Architect

WinsAbove; New Jersey; Hybrid; 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, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects.

You combine deep technical expertise with strategic thinking to position Databricks as the foundation of clients’ data and AI strategy, while developing a niche specialization and coordinating cross-functional teams to deliver scalable, production-grade solutions across

Qualifications

• 6+ years in solutions architecture, data engineering, pre-sales, or equivalent role.
• Strong Python and SQL with live coding, debugging, and solution-building skills.
• Deep expertise in distributed data systems and cloud-native platforms.
• Familiarity with Databricks Platform and ability to develop a technical specialization.
• Proven ability to lead senior-level architecture discussions and reviews.

Responsibilities

• Own end-to-end technical strategy for accounts from discovery to production deployment.
• Lead complex architecture discussions spanning data engineering, ML/AI, and real-time analytics.
• Advise customer architects and engineering leads; demonstrate Databricks differentiation.
• Drive platform adoption and cross-functional collaboration with DSAs, SSAs, and partners.
• Provide feedback to influence product direction based on customer requirements.

Skills

Solutions Architecture

Python

SQL

Distributed Data Systems

Databricks Platform

Cloud Deployments

Stakeholder Leadership

Communication Skills

Education

Bachelor's or Master's in CS/Engineering

Tools

AWS

Azure

GCP

Job description

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

You combine deep technical expertise with strategic thinking to position Databricks as the foundation of clients’ data and AI strategy, while developing a niche specialization and coordinating cross-functional teams to deliver scalable, production-grade solutions across