Solutions Architect - Strategic High Tech

Databricks•San Francisco, CA

1d•$180,000 - $247,500•Remote

About The Position

As a Strategic Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape of one of the largest global tech companies by working with the most sophisticated data engineering and data science teams. Reporting to the Field Engineering Manager, you will collaborate with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide one of our largest AI native customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

Requirements

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) or Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
Available to travel to customers in your region

Nice To Haves

Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
Databricks Certification

Responsibilities

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.