Senior Solutions Architect: Data & AI Strategy

Databricks; Los Angeles (CA); On-site; USD 180,000 - 248,000; Full time

Job summary

Databricks is seeking a Solutions Architect to own the end-to-end technical strategy for accounts, from discovery to production deployment and growth. You will lead architecture discussions spanning data engineering, ML/AI, and real-time analytics, and serve as a trusted advisor to customer technical leads and directors.

You will combine deep technical expertise with strategic thinking to position Databricks as the foundation of customers' data and AI strategy, developing a specialized domain

Qualifications

• 6+ years in solutions architecture or senior technical role.
• Strong coding proficiency in Python and SQL with live coding ability.
• Deep expertise in distributed data systems architecture and cloud-native platforms.
• Proficiency with the Databricks Platform and developing a technical specialization.
• Experience leading architecture discussions with senior stakeholders.
• Experience with production deployments on AWS, Azure, or GCP.
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline.

Responsibilities

• Own end-to-end technical strategy from discovery to deployment and growth.
• Lead architecture discussions designing scalable, production-grade solutions.
• Serve as trusted advisor to customer architects, engineering leads, and directors.
• Drive technical wins by demonstrating differentiation through custom solutions.
• Coordinate cross-functional resources to deliver complex customer outcomes.
• Influence product direction with feedback on customer requirements.

Skills

Python

SQL

Distributed data systems

Cloud platforms

Stakeholder leadership

Live coding

Data engineering

Education

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

Tools

Databricks Platform

Job description

Databricks is seeking a Solutions Architect to own the end-to-end technical strategy for accounts, from discovery to production deployment and growth. You will lead architecture discussions spanning data engineering, ML/AI, and real-time analytics, and serve as a trusted advisor to customer technical leads and directors.

You will combine deep technical expertise with strategic thinking to position Databricks as the foundation of customers' data and AI strategy, developing a specialized domain