Partner Solutions Architect enables consulting and system integrator partners on Databricks, leading technical workshops and advising on data, cloud, and AI platform adoption.
About this role
Within Field Engineering, this data-warehousing Specialist Solutions Architect supports Solution Architects in customer engagements. The role guides cloud transformation and technical roadmaps for business-intelligence workloads on Databricks, from evaluation and architecture design through production planning, deployment and migration. Work includes production workload design, pipeline performance testing and optimization, query tuning, workload sizing and proof-of-concept content. Applicants need 5+ years in a technical role with data-warehousing expertise and production experience; 2+ years with data-warehousing or big-data technologies; and 2+ years in customer-facing pre- or post-sales. A bachelor's in computer science, information systems or engineering, or equivalent experience, is required. So are production programming in SQL and Python or Java, experience with AWS, Azure or GCP, and deep expertise in at least one area: scaling cloud analytical workloads, maintaining or migrating production warehouses, or moving on-premises EDW workloads to public cloud.
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