Data Platform Multi-Cloud Architect

Oracle Data Platform Multicloud Architect

The Oracle North America Sales Engineering team is seeking a talented Oracle Data Platform Multicloud Architect to drive the adoption of Oracle ExadataDB@Multicloud (deployed on Azure/AWS/GCP cloud data platform solutions). This is a pre‑sale and post‑sale technical advisor role providing guidance to customers exploring, test driving, and implementing Oracle DB@Multicloud solutions. We are specifically looking for experienced Oracle Exadata Database Architects to share deep technical implementation guidance on large database workload migrations to cloud.

As an Oracle Data Platform Multicloud Architect, you will be the trusted advisor to our clients, helping them leverage the power of our Oracle Cloud Data Platform technologies specifically Oracle ExadataDB, Oracle Autonomous DB, Oracle Data Guard, Oracle Autonomous Recovery Service, and Oracle Golden Gate to help customers drive innovation and growth. You will be working alongside Oracle North America’s enterprise strategic customers building out solutions on Oracle DB@Multicloud (deployed at Azure, Google Cloud Platform (GCP), and or AWS).

Your engagement will be both during the pre‑sale and post‑sale cycles advising customer on how to adopt and implement Oracle DB workloads on Azure, GCP, and/or AWS using Oracle Multicloud Data Platform. You will be working with multiple customers in various stages of discovery, solutioning, proof, and implementations. Broad and deep Oracle ExadataDB experience in architecture, solution selling, and implementation is required for this role.

Your primary focus will be on designing and architecting cutting‑edge solutions, considering the unique challenges and opportunities. You will be part of the Oracle Sales Engineering organization working to help grow Oracle’s Multicloud Data Platform business growth in North America. The role typically involves a mix of travel (25%) & work from home (75%); e.g., traveling to/ working onsite with customers, your local metro area travel, US East & US Central coverage is planned.

Plus points for qualified applicants near New York City (NYC) and able to visit customers in a local capacity. Plus points will be given for experience implementing Oracle ExadataDB in Financial Services, Insurance, and High Tech Industries. Plus points will also be given for candidates with a deep understanding of competitor offerings, such as Snowflake and Databricks, and the ability to position our solutions effectively.

• Engage with customers to understand their data journey, including migration, integration, and modernization, and propose tailored Oracle ExaDB cloud data platform solutions.
• Design and architect cloud‑native data platforms, leveraging OCI services:
  Exadata, Autonomous Database (AutoDB), and Generative AI (GenAI) for advanced analytics.
• Provide thought leadership and best practices to customers, helping them optimize their data architecture and improve business outcomes.
• Conduct technical workshops and presentations to educate customers and partners on our data platform capabilities and benefits.
• Provide detailed technical step‑by‑step guidance on Oracle ExaDB@Multicloud deployments including cloud tenancy setup, ExadataDB provisioning, as well as Azure/GCP and/or AWS networking and security configurations.
• Stay informed about competitor offerings (Snowflake, Databricks) and market trends to develop compelling value propositions for our solutions.
• Collaborate with the Oracle Product Management, Product Development, and Support teams to provide feedback and influence the development of focused features and services.
• Share your knowledge and expertise across the Oracle Sales Engineering organization to foster a culture of continuous learning.

• Extensive solution architecture & hands‑on implementation experience working with Oracle Exadata (on‑premise hardware, Exadata Cloud@Customer (ExaCC), Exadata Cloud Service  (ExaCS), and/or Oracle Autonomous DB).
• In‑depth knowledge of cloud data platform technologies, including data warehousing, data lakes, and real‑time analytics.
• Expertise in our…