Solutions Architect

As a Solutions Architect, you will shape the future of the Data & AI landscape by working with sophisticated data engineering and data science teams.

You will be a technical advisor to the sales team and work with the product team as an advocate for customers.

Your goal will be to help customers achieve tangible data-driven outcomes using the Databricks Lakehouse Platform.

You will collaborate with strategic prospects and customers, work with product and engineering to drive the Databricks roadmap, and develop architectures and solutions using the platform.

Key responsibilities:

• Provide technical leadership to help customers understand how Databricks can solve their business problems
• Develop account strategies and execute them to help customers and prospects solve their business problems with Databricks
• Consult on Big Data architectures and implement proof of concepts for strategic projects
• Collaborate with fellow Solutions Architects and support each other and users
• Become an expert in and promote Databricks-inspired open-source projects

Requirements:

• 8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• 8+ years of experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Strong consulting/customer-facing experience working with external clients across various industries
• Coding experience in Python, R, Java, Apache Spark, or Scala
• Experience building distributed data systems and solutions with public cloud providers such as AWS, Azure, or GCP
• Available to travel to customers in your region
• Databricks Certification is a plus