# Solutions Architect

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Georgia, Illinois, Massachusetts, New York, NY, Washington, DC
**Role:** Solutions Architecture
**Salary:** $180k – $248k/yr
**Experience:** 7+ years
**Skills:** Solutions Architecture, Spark, Delta Lake, MLflow, unity catalog, AWS, Azure, GCP, Python, SQL, Scala, Java, R, Kafka, Hadoop
**Posted:** 2026-07-29

> Solutions Architect partnering with sales to help Financial Services customers adopt Databricks for data, analytics, and AI use cases. Provide technical leadership, design architectures, run POCs, and serve as a trusted advisor. Requires 7+ years pre-sales/consulting experience with big data technologies.

## 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, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
- Build and present reference architectures, how-tos, and demonstrate applications for customers
- Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
- Travel to meet with customers in your territory

## What we look for

- 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
- Experience designing and architecting distributed data systems
- Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
- Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator
- Experience building solutions with public cloud providers such as AWS, Azure, or GCP
- Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
- Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
- Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

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**Apply:** https://hotfix.jobs/jobs/794b2e43-94a1-4916-b57b-14c98d9ff67f
**Canonical:** https://hotfix.jobs/jobs/794b2e43-94a1-4916-b57b-14c98d9ff67f