Senior Solutions Engineer - Digital Native Business, Named Accounts

Responsibilities

• 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 and implement proofs of concept 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 customers and users.
• Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects, including Spark, Delta Lake, and MLflow.
• Guide customers through the competitive landscape, best practices, and implementation while developing technical champions.
• Travel to customers in the assigned region as needed.

Requirements

• 3+ years of experience in data engineering, data science, technical architecture, or a similar pre-sales or consulting role.
• Experience building distributed data systems.
• Proficiency programming in and debugging Python and SQL.
• Experience building solutions with public cloud providers such as AWS, Azure, or Google Cloud.
• Expertise in data engineering technologies such as Spark, Hadoop, or Kafka, or in data science and machine learning technologies such as pandas, scikit-learn, PyTorch, or TensorFlow.

Nice to Have

• Degree in a quantitative discipline such as Computer Science, Applied Mathematics, or Operations Research.
• Databricks Certification.

Compensation

• Local pay range: $152,300–$209,450 USD.
• Total compensation may also include an annual performance bonus, equity, and benefits.