# Solutions Architect - Digital Native Business

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Remote
**Role:** Solutions Architecture
**Salary:** $140k – $247k/yr
**Experience:** 5+ years
**Skills:** Spark, Delta Lake, MLflow, Python, SQL, AWS, Azure, GCP, Hadoop, Kafka
**Posted:** 2026-01-30

> Collaborates with customers and teams to architect big data solutions using Databricks platform for data engineering, science, and ML. Requires 5+ years experience, Python/SQL proficiency, cloud expertise, and distributed systems knowledge.

## Job Description

## The impact you will have:
- Partner with the sales team and provide technical leadership to help customers understand how Databricks solves their business problems.
- Consult on Big Data architectures, implement proof of concepts for strategic projects spanning data engineering, data science, machine learning, and SQL analysis workflows, and validate integrations with cloud services, home-grown tools, and third-party applications.
- Collaborate with fellow Solutions Architects to support each other and users.
- Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow).

## What we look for:
- **5+ years** in a data engineering, data science, technical architecture, or similar pre-sales/consulting role.
- Experience building distributed data systems.
- Comfortable programming in and debugging **Python** and **SQL**.
- Built solutions with public cloud providers such as **AWS**, **Azure**, or **GCP**.
- Expertise in one of the following:
  - Data Engineering technologies (**Spark**, **Hadoop**, **Kafka**).
  - Data Science and Machine Learning technologies (**pandas**, **scikit-learn**, **PyTorch**, **TensorFlow**).
- Available to travel to customers in your region.
- [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).
- Nice to have: **Databricks Certification**.

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**Apply:** https://hotfix.jobs/jobs/d52ba862-eb00-4da9-95bc-6a6ca73e169c
**Canonical:** https://hotfix.jobs/jobs/d52ba862-eb00-4da9-95bc-6a6ca73e169c