Solutions Architect – Public Sector, SLED

Databricks

Solutions Architect role at Databricks focusing on public sector, leveraging Unified Analytics Platform. Collaborate with sales to deliver technical solutions and customer engagement.

Posted 7/21/2026full-timeRemote • Texas • 🇺🇸 United StatesMid-LevelSenior💰 $180,000 - $247,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and architecting distributed data systems, with a strong focus on Databricks and associated technologies. Proven ability to engage with customers, providing technical leadership and implementing solutions in cloud environments.

Highest-signal resume keywords

Customer-Facing Technical LeadershipDistributed Data Systems ArchitectureProgramming in Python, Scala, Java, SQL, or RExperience with Public Cloud Providers (AWS, Azure, GCP)Data Engineering Technologies (Spark, Hadoop, Kafka)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Distributed Data Systems ArchitectureProgramming in PythonProgramming in ScalaProgramming in JavaProgramming in SQLProgramming in RData Engineering TechnologiesData WarehousingProof of Concept ImplementationBig Data Architecture Consulting

Soft Skills

Customer EngagementTechnical ConsultingPresentation SkillsCollaborationCommunication

Tools & Technologies

DatabricksSparkDelta LakeMLflowKoalasAWSAzureGCPHadoopKafka

Industry Keywords

Public SectorData ScienceMachine LearningCloud ServicesOLTPOLAPDSS

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformHadoopJavaKafkaPythonScalaSparkSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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 (Ex: Spark, Hadoop, Kafka)
Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
US Citizen

Benefits

Comp & perks

Health insurance
Stock options
401(k) matching
Paid time off
Remote work options