Solutions Architect - Digital Native Business

As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with sophisticated data engineering and data science teams. 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 the Databricks platform and APIs.

• Partner with the sales team and provide technical leadership to help customers understand how Databricks can solve 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.
• Validate integrations with cloud services, homegrown tools, and third-party applications.
• Collaborate with fellow Solutions Architects to support each other and users.
• Become an expert in and promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow) across the developer community.

• 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 data engineering technologies (e.g., Spark, Hadoop, Kafka) or data science and machine learning technologies (e.g., 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.

Local Pay Range: $139,700—$247,300 USD. Actual compensation packages are based on factors unique to each candidate, including skills, experience, certifications, and work location. The total package may include annual performance bonus, equity, and benefits.

Databricks offers comprehensive benefits and perks. For specific details, refer to the benefits page.