Solutions Architect: Retail, CPG & Travel AI Platform Lead

Neon; Nebraska; On-site; USD 149,000 - 248,000; Full time

Job summary

Databricks is seeking a Solutions Architect (L5) to own the technical strategy for customers, guiding architecture discussions and driving platform adoption across data engineering, ML/AI, and real-time analytics.

You will serve as a trusted advisor to customer technical leads and Directors, influencing product direction and orchestrating cross-functional resources to deliver scalable, production-grade solutions.

Qualifications

• 6+ years in solutions architecture or equivalent senior technical roles.
• Strong Python and SQL coding skills with demonstrated live coding abilities.
• Deep expertise in distributed data systems design, pipelines, streaming, lakehouse patterns.
• Proficient with the Databricks Platform and developing a technical specialization.
• Proven ability to lead architecture discussions with senior stakeholders.
• Experience deploying on public clouds (AWS/Azure/GCP) with security/governance.
• Bachelor's or Master's in CS/Engineering or related field.

Responsibilities

• Own the end-to-end technical strategy for accounts from discovery to production deployment.
• Lead complex architecture discussions across data engineering, ML/AI, and real-time analytics.
• Serve as a trusted advisor to customer architects and engineering leads.
• Drive technical wins by demonstrating Databricks differentiation with custom solutions.
• Develop an emerging technical specialization and become a go-to resource.
• Coordinate cross-functional resources to deliver comprehensive solutions.
• Influence product direction with customer feedback and identified gaps.

Skills

Python

SQL

Distributed data systems

Architecture leadership

Cloud deployments

Education

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

Tools

Databricks Platform

Snowflake

AWS/Azure/GCP

Job description

Databricks is seeking a Solutions Architect (L5) to own the technical strategy for customers, guiding architecture discussions and driving platform adoption across data engineering, ML/AI, and real-time analytics.

You will serve as a trusted advisor to customer technical leads and Directors, influencing product direction and orchestrating cross-functional resources to deliver scalable, production-grade solutions.