# Solutions Architect - Emerging Enterprise (Startups)

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Unspecified
**Role:** Solutions Architecture
**Salary:** $140k – $247k/yr
**Experience:** 5+ years
**Skills:** Spark, Delta Lake, MLflow, Python, Scala, Java, SQL, AWS, Azure, GCP, Hadoop, Kafka, pandas, scikit-learn
**Posted:** 2026-03-17

> Leads technical adoption of Databricks platform for emerging enterprise customers, designs data/AI architectures, builds proofs of concept, and evangelizes open-source projects like Spark and Delta Lake. Requires 5+ years customer-facing experience in data engineering/science and cloud platforms.

## Job Description

## The 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%, of which 80%+ local to your region)

## What we look for:
Solution Architects are customer-facing. You'll need to be comfortable communicating ideas to various audiences through presentations, whiteboarding, architecture discussions, and platform demonstrations.

- 5+ 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/5a40f62a-980c-4b52-92b3-76f22ff58e40
**Canonical:** https://hotfix.jobs/jobs/5a40f62a-980c-4b52-92b3-76f22ff58e40