# Sr. Solutions Engineer - AI Natives Business

**Company**: Databricks
**Location**: West Coast
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $152,300-$209,450 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8893772002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_bf7f5c5a-e19

## Description

As a Sr. Solutions Engineer on the AI native team supporting the Digital Natives business, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs.

You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.

The impact you will have:

- Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.

- Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows.

- Validate integrations with cloud services, home-grown tools, and other 3rd 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, and MLflow) across the developer community.

What we look for:

- 4+ 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 (e.g., Spark, Hadoop, Kafka), Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, PyTorch, Tensorflow).

- Available to travel to customers in your region.

- Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) desired.

- Databricks Certification a plus.

Pay Range Transparency: The pay range for this role is $152,300-$209,450 USD.

For more fresh new jobs, check out [yubhub.co](https://yubhub.co/).

## Skills

### Required
- Python
- SQL
- Data Engineering
- Data Science
- Machine Learning
- Spark
- Hadoop
- Kafka
- pandas
- scikit-learn
- PyTorch
- Tensorflow
- AWS
- Azure
- GCP

### Nice to have
- Databricks Certification

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8893772002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)