Resident Solutions Architect - Digital Native Business

As a Resident Solutions Architect in our Professional Services team, you will work with clients on short to medium term customer engagements solving their big data problems using Apache Spark and the Databricks platform. You will be in a customer-facing role that requires deep hands-on expertise in Apache Spark and data engineering, along with a variety of knowledge of the big data ecosystem.

You will guide our largest customers, implementing pipelines from data engineering through model building and deployment, plus other technical tasks to help customers to get value out of their data with Databricks.

Responsibilities:

• Guide customers as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications
• Assure that Databricks best practices are being used within all projects and that our quality of service and implementation is strictly followed
• Facilitate technical workshops, discovery and design sessions, customer requirements gathering and scoping for new and existing strategic customers
• Assist the Professional Services leader and project managers with level of effort estimation and mitigation of risk within customer proposals and statements of work
• Architect, design, develop, deploy, operationalize and document complex customer engagements individually or as part of an extended team as the technical lead and overall authority
• Knowledge transfer, enablement and mentoring of other team members, customers and partners, including developing reusable project artifacts
• Provide experience to the consulting team, provide best practices in client engagement to other teams

Requirements:

• 4+ years experience in data engineering, data platforms & analytics
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP)
• Comfort with object-oriented and functional programming in Scala and Python
• Experience in building scalable streaming and batch solutions using cloud-native components
• Strong knowledge of distributed computing with Apache Spark
• Travel to customers 20% of the time
• Nice to have: Databricks Certification