# Solutions Architect

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Colorado, Denver, CO
**Role:** Solutions Architecture
**Experience:** 4+ years
**Skills:** Spark, Delta Lake, MLflow, Python, Scala, Java, SQL, R, AWS, Azure, GCP, Hadoop, Kafka, pandas, scikit-learn
**Posted:** 2026-07-27

> Solutions Architect who provides technical leadership to customers adopting Databricks' Data and AI platform. Responsibilities include consulting on big data architectures, implementing POCs for data science/ML projects, building reference architectures, and evangelizing open-source projects like Spark and Delta Lake. Requires 4+ years customer-facing technical experience, distributed systems knowledge, and proficiency in at least one programming language plus cloud platforms.

## Job Description

## Impact You Will Have
- Provide technical leadership for customers to evaluate and adopt Data and AI solutions from 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, technical guides, and demo applications for customers
- Provide escalated support for critical customer operational issues
- Become an expert in, and evangelize Databricks driven open-source projects (Apache Spark™, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences, and webinars
- Use your strengths to help your fellow SA's, and drive cross-functional relationships across the company
- Travel to customers up to 30%

## What We Look For
- 4+ 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
- Have built solutions with public cloud providers, such as AWS, Azure, or GCP
- Experience in at least one of the following:
  - Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
  - Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
  - Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
- [Preferred] Degree in a quantitative discipline (e.g., Computer Science, Applied Mathematics, Operations Research, etc.)
- Nice to have: Databricks Certification

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**Apply:** https://hotfix.jobs/jobs/d046dce2-bdbd-49f4-8077-701fa4243129
**Canonical:** https://hotfix.jobs/jobs/d046dce2-bdbd-49f4-8077-701fa4243129