Public Sector Solutions Architect: Data & AI Strategy Lead

Neon; Maryland; On-site; 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 and driving platform adoption across data engineering, ML/AI, and real-time analytics.

You will collaborate with customer technical leads and architects, lead complex architecture reviews, and shape solutions that position Databricks as the foundation of clients’ data and AI initiatives.

Qualifications

• 7+ years in solutions architecture, data engineering, pre-sales, or senior hands-on technical roles.
• Strong coding proficiency in Python and SQL with live coding, debugging, and solution-building skills.
• Deep expertise in distributed data systems architecture: scalable pipelines, streaming, lakehouse patterns, cloud-native platforms.
• Proven ability to lead architecture discussions with senior technical stakeholders and perform trade-off analyses.

Responsibilities

• Own end-to-end technical strategy for accounts from discovery to production deployment and growth.
• Lead complex architecture discussions spanning data engineering, ML/AI, and real-time analytics.
• Serve as a trusted technical advisor to customer architects and engineering leads.
• Drive technical wins by showcasing Databricks differentiation through custom solutions.
• Develop an emerging technical specialization (archetype) and be a go-to resource for the team.
• Orchestrate cross-functional resources to deliver comprehensive solutions for complex needs.
• Influence product direction by providing feedback on customer requirements and gaps.

Skills

Python

SQL

Distributed data systems

Live coding

Cloud deployments

Stakeholder communication

Architecture discussions

Education

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

Tools

Databricks Platform

AWS/Azure/GCP

Snowflake (nice-to-have)

Job description

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

You will collaborate with customer technical leads and architects, lead complex architecture reviews, and shape solutions that position Databricks as the foundation of clients’ data and AI initiatives.