# Sr. Solutions Architect - Public Sector (Hunter)

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Maryland, Virginia, Washington, DC
**Role:** Solutions Architecture
**Salary:** $219k – $301k/yr
**Experience:** 8+ years
**Skills:** Spark, Delta Lake, MLflow, Python, Scala, Java, SQL, R, AWS, Azure, GCP, Hadoop, Kafka
**Posted:** 2026-03-11

> Leads technical sales for Databricks platform in Public Sector, partnering with sales to architect solutions using Spark, Delta Lake, and cloud providers. Requires 8+ years experience in pre-sales, distributed systems, and programming in Python/Scala/Java/SQL.

## Job Description

## The impact you will have:
- 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 reference 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

## What we look for:
- 8+ 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

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**Apply:** https://hotfix.jobs/jobs/4563faa2-dd7d-4229-8c59-a1ce9c4226a9
**Canonical:** https://hotfix.jobs/jobs/4563faa2-dd7d-4229-8c59-a1ce9c4226a9