Resident Solutions Architect

Databricks Databricks · Data AI · New South Wales, Australia · Professional Services Operations

This role is for a Resident Solutions Architect on the Professional Services team, focusing on customer engagements to address big data challenges using the Databricks platform. Responsibilities include data engineering, data science, and cloud technology projects, integrating systems, and providing technical guidance for customer adoption. The role involves end-to-end design, build, and deployment of big data and AI applications, offering escalated support, and providing product feedback. Requires 8+ years of experience in Big Data technologies, Python/Scala coding, technical project delivery, and client management.

What you'd actually do

  1. You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs / Greenfield projects
  2. Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
  3. Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
  4. Provide an escalated level of support for customer operational issues.
  5. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs

Skills

Required

  • 8+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role.
  • Comfortable writing code in either Python or Scala.
  • Experience with technical project delivery - managing scope and timelines.
  • Documentation and white-boarding skills.
  • Experience working with clients and managing conflicts.
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.

Nice to have

  • Databricks Certification