Solutions Architect (Professional Services) – Spark Expert
As a Solutions Architect (Professional Services) Spark Expert, in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
Responsibilities
* Design and build reference architectures, create how-to documentation, and productionalize customer use cases.
* Scope professional services work in collaboration with engagement managers and customers.
* Guide strategic customers as they implement transformational big data projects, third‑party migrations, and end‑to‑end design, build, and deployment of industry‑leading big data and AI applications.
* Consult on architecture and design; bootstrap or implement customer projects that lead to successful understanding, evaluation, and adoption of Databricks.
* Provide escalated support for customer operational issues.
* Partner with the Databricks technical team, Project Manager, Architect, and Customer team to ensure technical components are delivered to meet customer needs.
* Work with Engineering and Databricks Customer Support to provide product and implementation feedback and guide rapid resolution for engagement‑specific product and support issues.
* 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 risk mitigation 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 and best practices in client engagement to other teams.
Qualifications
* 4+ to 6+ years experience in data engineering, data platforms and analytics.
* Proficient in Python or Scala.
* Experience with two or more common cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
* Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals.
* Familiarity with CI/CD for production deployments.
* Working knowledge of MLOps.
* Design and deployment of performant end‑to‑end data architectures.
* Experience with technical project delivery – managing scope and timelines.
* Strong documentation and white‑boarding skills.
* Experience working with clients and managing conflicts.
* Databricks Certification (nice to have).
Travel
* Travel to customers approximately 30% of the time.
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