Solutions Architect - Public Sector (SLED)
Databricks· Engineering
Hybrid (Texas)$180k - $247.5kFull-timePosted 3mo ago
About the role
Remote role focused on customer-facing solution architecture for the Databricks Unified Analytics Platform in the Public Sector (SLED). You will work with customers, sales, product and post-sales teams to design architectures, lead technical engagements, and guide implementations to deliver value, with travel to customers in your region.
Responsibilities
- Partner with the sales team to help customers understand how Databricks can help solve their business problems
- Provide technical leadership for customers to evaluate and adopt Databricks
- Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
- Build and present references architectures, how-tos, and demo applications for customers
- Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
- Travel to customers in your region
Qualifications
- 6+ years in a customer-facing pre-sales, technical architecture, or consulting role
- Experience designing and architecting distributed data systems
- Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
- Experience supporting Public Sector clients
- Have built solutions with public cloud providers such as AWS, Azure, or GCP
- Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
- Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
- US Citizen
Skills
Required:Pre-sales / Technical ArchitectureDistributed Data Systems DesignProgramming
Benefits
- Benefits information available via regional link (see job description)
Last updated Sep 10, 2026. Interested? Apply on the company site.
About Databricks
Leading Data and AI Platform for Enterprises
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.
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