Sr. Solutions Architect - Public Sector (SLED)

Mission

Lead the growth of the Databricks Unified Analytics Platform. Exercise and develop expertise in cloud platforms, data engineering, data analytics, and data science and machine learning.

Responsibilities

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present references architectures, how-tos, and demo applications for customers
• Build and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region

Requirements

• 8+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)

Qualifications

• Desired: Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• US Citizen

Skills

• Open-source projects such as Apache Spark, MLflow, and Delta Lake

Benefits

Details on benefits are available upon request.

Pay

The pay range(s) for this role is $219,100—$301,300 USD.

Schedule

Details on schedule are available upon request.