Solutions Architect - Digital Native Business, Named Accounts

FEQ327R210

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE

As a Solutions Architect on the Digital Natives team, 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 existing DNB 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

You will 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. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications

Collaborate with your fellow Solutions Architects, using your skills to support each other and our 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

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

Have built solutions with public cloud providers such as AWS, Azure, or GCP

Expertise in one of the following

Data Engineering technologies (Ex: Spark, Hadoop, Kafka)

Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)

Available to travel to customers in your region

[Desired]