Oracle Data Platform Multi-cloud Architect

Oracle Oracle · Enterprise · United States

This role is for an Oracle Data Platform Multicloud Architect focused on pre-sale and post-sale technical advisory for Oracle ExadataDB@Multicloud solutions on Azure, AWS, and GCP. The architect will guide customers through migrations and implementations of Oracle database workloads in multi-cloud environments, leveraging various Oracle cloud data platform technologies and Generative AI for analytics.

What you'd actually do

  1. Engage with customers to understand their data journey, including migration, integration, and modernization, and propose tailored Oracle ExaDB cloud data platform solutions.
  2. Design and architect cloud-native data platforms, leveraging OCI services: Cloud Data Platform Product Knowledge: Exadata, Autonomous Database (AutoDB), and Generative AI (GenAI) for advanced analytics.
  3. Provide thought leadership and best practices to customers, helping them optimize their data architecture and improve business outcomes.
  4. Conduct technical workshops and presentations to educate customers and partners on our data platform capabilities and benefits.
  5. 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.

Skills

Required

  • Extensive solution architecture & hands-on implementation experience working with Oracle Exadata (on-premise hardware, ExadataCloud@Customer (ExaCC), ExadataCloudService (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 cloud data platform offerings: Cloud Data Platform Product Knowledge Plus, Exadata, AutoDB, and GenAI.
  • Strong proven decade+ experience as an Oracle Database Administrator using RMAN, Data Guard, Transportable Table Spaces, ZDM, and other data migration tools.
  • Proficiency in data modeling, ETL/ELT processes, and data integration techniques.
  • Experience with cloud-based data warehousing solutions, data lake architecture, and modern data processing frameworks (e.g., Spark, Kafka).
  • Programming skills in Python, SQL, or similar languages for data manipulation and analysis.
  • Excellent communication and presentation skills, with the ability to simplify complex technical concepts.

Nice to have

  • Industry certifications such as Oracle DBA Certified, OCI Architect, AWS Architect, Azure Architect, GCP Architect, Snowflake Certified Architect, and/or Databricks Certified Associate are highly valued.
  • Experience working as a hands-on Oracle DB practitioner / technical consultant/ system integrator is strongly preferred.
  • Experience in leading data platform migration projects to cloud environments.

What the JD emphasized

  • Broad and deep Oracle ExadataDB experience in architecture, solution selling, and implementation is required for this role.