Senior Data & AI Solutions Architect

Databricks Inc.; Tennessee; On-site; USD 150,000 - 190,000; Full time

Job summary

Databricks seeks a Solutions Architect to own the end-to-end technical strategy for accounts, from discovery through deployment and growth. You will lead architecture discussions across data engineering, ML/AI, and real-time analytics, positioning Databricks as the foundation of your customers' data and AI strategy.

You will advise customer technical leads, collaborate with DSAs and partners, and influence product direction to drive platform adoption and success across cloud deployments and

Qualifications

• 6+ years in solutions architecture, data engineering, or senior roles.
• Strong coding proficiency in Python and SQL with live coding ability.
• Deep expertise in distributed data systems, pipelines, lakehouse patterns.
• Proficiency with the Databricks Platform and rapid upskilling in key areas.
• Experience with production deployments on AWS, Azure, or GCP.
• Bachelor's or Master's in CS/Engineering or equivalent.
• Databricks certifications (Data Engineer, ML, Platform).
• Knowledge of competitive platforms like Snowflake and Azure Synapse.
• Industry domain experience in relevant sectors.

Responsibilities

• Lead architecture discussions for scalable, production-grade solutions.
• Advise customer architects, engineering leads, and directors.
• Demonstrate differentiation through custom-built solutions.
• Coordinate cross-functional resources to deliver complex solutions.
• Provide feedback on customer requirements and competitive gaps.

Skills

Python

SQL

Solutions architecture

Cloud platforms

Live coding

Data engineering

Distributed data systems

Stakeholder communication

Education

Bachelor's or Master's in CS/Engineering

Tools

Databricks Platform

Job description

Databricks seeks a Solutions Architect to own the end-to-end technical strategy for accounts, from discovery through deployment and growth. You will lead architecture discussions across data engineering, ML/AI, and real-time analytics, positioning Databricks as the foundation of your customers' data and AI strategy.

You will advise customer technical leads, collaborate with DSAs and partners, and influence product direction to drive platform adoption and success across cloud deployments and