Description Oracle Cloud Infrastructure (OCI) Oracle Cloud Infrastructure is a Generation 2 enterprise cloud that delivers powerful compute and networking performance, a comprehensive portfolio of infrastructure and platform cloud services, and the world’s only self-driving autonomous database. Built from the ground up to meet the needs of mission-critical applications, Oracle Cloud supports all legacy workloads while delivering modern cloud development tools—so enterprises can bring their past and build their future. Oracle Engineered Systems and Exadata Cloud Services Oracle Exadata Platform is the best platform to run Oracle databases. Oracle engineered systems and Exadata Cloud Services are built on Exadata platform and offers the next generation Cloud service and product portfolio built from the ground up to support the most demanding database management requirements and addresses a wide range of customer use cases. Oracle on-prem engineered systems portfolio consists of Exadata, ZDLRA and ODA. Exadata Cloud product portfolio include Autonomous Database Service, Exadata Cloud Service, as well as Cloud Customer Services (Exadata Cloud Customer, Autonomous Cloud Customer) and are part of the OCI Cloud Services. Team Description Part of the Global Strategy and Outbound Product Management Team, the Cross Platform Solutions team is a group of highly skilled Cloud Architects and Engineers who work with customers to develop modern data architectures, develop Data Science and Lake House solutions, and create collateral to educate sales teams. This team’s goal is to help customers get more value from their investments in Oracle Engineered Systems and Exadata Cloud Services by integrating them with other Oracle products and services to modernize their data and application platform. To achieve this goal, we identify the challenges our customers are facing on their data and application journey, and create solutions to address those challenges as well as create content and programs for sales to educate customers on how the eco system of Oracle products can be used to modernize and simplify their data journey. Job Description We are seeking a product manager with a strong track record of designing and implementing solutions based on Oracle Engineered Systems, Exadata Cloud products as well as experience building solutions based on customer needs on the topics of dev/ops, big data, data lake/lake house platforms by using Cloud and on-premise products. This role requires the applicant to be deeply technical in the entire modern data life cycle management and dev/ops methodology, work closely with customers, partners, sales team, and product management. Also, the applicant will support in making our Engineered System and Exadata Cloud customers successful by standing up solutions that allow them to integrate their existing investments with additional Oracle data products from reference architectures to achieve their data and application modernization goals. Candidates must have a solid understanding of helping Oracle Engineered Systems and Exadata Cloud Services customers to adopt solutions that utilize big data, data lakes, lake house, analytics, and autonomous database technologies as well as proven experience delivering and deploying these solutions in the Cloud. This role routinely requires keeping abreast of competitive technologies and build solutions that follow the latest trend in technological advances. Knowledge of comparable products in AWS, Azure, GCP and other cloud vendors is desirable. This role will engage with sales to discover customer goals and business problems and develop solutions that allow customers to maximize their return on existing investments as well as using Oracle Cloud and other Oracle products. Produce and deliver internal and external facing content including video, blog, webinars and solution briefs to educate customers and sales teams across Oracle. A solid understanding of core Oracle database, Oracle Engineered Systems and Exadata Cloud Services and willingness to learn new cloud services as they are introduced is a pre-requisite. Experience in Oracle products used in data life cycle of ingest, transform, curate, and analyze/learn & predict is required. Good understanding of Big Data, Data Lake, and Lake House tools & architectures is a must. Ability to influence data architecture decisions by using industry leading best practices is expected. Responsibilities · Develop solutions to deliver modern data architectures, develop Big Data and Lake House solutions, create content that describes these solutions and make it easy to consume · Be a trusted advisor to the sales and customers. Develop and present business cases and migration and implementation strategies in alignment with the go-to-market product, solution, and services strategy. · As a specialist, provide technical proof points or drive proof of value to the customer with Oracle Engineered Systems, Exadata Cloud products and Oracle Data Solutions. · Maintain mastery of the Oracle portfolio and intimate knowledge of industry trends, multidiscipline design patterns, development/deployment methodologies, and competitive cloud offerings while evangelizing solutions. · Achieve desired results through planning, risk management, stakeholder management, conflict resolution, governance, team management, and ownership of the cloud adoption lifecycle · Inspire confidence and quickly establish connection, credibility, trust, and influence with Oracle sales, Oracle business development and customer contacts ranging from executives to developers · Exercise creativity, independent judgment, and business acumen in selecting methods and techniques to design non-routine and elegant business solutions utilizing Oracle products and technology to meet customer needs · Influence customer strategy, architecture, roadmap, and migration planning workshops spanning business, applications, information, and technology domains · Maintain relevant expert-level competency across the data ecosystem – Data Science, Big Data, Data Lakes, Lake House, and Machine Learning/Advanced Analytics, Desired Qualifications / Skills: Big Data / Lakehouse architect with 10 years of solution architecture experience delivering solutions based on Data transformation projects. Good working understanding of Oracle Reference Data Architectures and be able to tailor reference architectures to different customer use cases. Must have good knowledge in any of the scheduling tools. The ideal candidate must have experience architecting cloud-based modern data solution (in Oracle, Azure, AWS, or Google). Required Skill Set: · Strong knowledge of the mission critical and leading Oracle technologies like Exadata, Autonomous and Exadata Cloud Services, Exadata Cloud Customer, Recovery Appliance, Oracle Database Appliance and solutions around Oracle on-prem applications, Database Migration and Consolidation and Disaster Recovery on Cloud. · Strong knowledge of Hadoop, HDFS, Java, Map Reduce (especially the Hadoop distributions from Cloudera and Oracle) · Strong knowledge of Golden Gate, Data Flow, OCI Data Integration, OCI Object Storage, Oracle Analytics Server and Oracle Analytics Cloud, OCI IAM, Data Safe, OCI Data Science, Oracle Data integrator. · Ability to address complex data challenges Career Level - IC4 Responsibilities This role will engage with sales to discover customer goals and business problems and develop solutions that allow customers to maximize their return on existing investments as well as using Oracle Cloud and other Oracle products. Produce and deliver internal and external facing content including video, blog, webinars and solution briefs to educate customers and sales teams across Oracle.