About the Role

We're looking for a customer-focused Data Platform Cloud/ multicloud Presales, Solution Engineer to help enterprise customers design, evaluate, and adopt modern data, analytics, AI, and cloud solutions on Oracle Cloud Infrastructure (OCI).

You'll bring strong technical knowledge across data warehousing, databases, data lakes/lakehouse architectures, data integration, analytics, and AI — and be comfortable leading customer-facing workshops, demos, PoCs, and architecture reviews using Oracle technologies such as Autonomous Database, Exadata, OCI GoldenGate, OCI Data Lakehouse, OCI AI Services, and Oracle Analytics Cloud. You'll partner closely with customers, sales, product specialists, engineering, and partners to position and design these solutions.

Key Responsibilities

Solution Architecture & Presales Consulting

Understand customer business goals, data challenges, and modernization priorities, and translate them into scalable, secure, high-performing OCI architectures
Lead architecture discussions spanning Autonomous Database, Exadata, warehouse modernization, lakehouse, analytics, AI/ML, and data integration
Support opportunity qualification, technical discovery, proposals, and RFP responses

Customer Engagement & Advisory

Act as a trusted advisor to CIOs, CDOs, data leaders, architects, and business stakeholders
Lead workshops, whiteboarding sessions, executive briefings, and technical deep dives
Guide customers on cloud adoption, database modernization, analytics transformation, AI readiness, and data governance

Demonstrations, PoCs & Technical Validation

Deliver demos of Oracle data platform capabilities (Autonomous Database, Oracle Analytics, GoldenGate, Data Integration, Data Lakehouse, AI Services)
Define and lead PoCs — scope, success criteria, workload sizing, evaluation metrics — to validate architecture, performance, and business value
Present findings and recommendations to technical and business decision-makers

Data Platform, AI & Analytics Expertise

Advise on modern architecture patterns: cloud data warehouses, data lakes/lakehouse, real-time replication, streaming, and AI-enabled platforms
Guide customers on ingestion, migration, replication, transformation, governance, security, performance, and cost optimization
Stay current on trends in data platforms, AI/generative AI, analytics, and competitive technologies

Required Qualifications

Bachelor's degree in Computer Science, Engineering, IT, Data Science, or related field
Experience in presales, solution engineering, solution architecture, or technical consulting for data platforms
Strong understanding of databases, data warehousing, data lakes, data integration, analytics, AI/ML, and cloud architecture
Hands-on or architectural experience with cloud data platforms and enterprise data solutions
Proven ability to lead technical discussions and translate business needs into solutions
Experience delivering customer workshops, demos, and PoC engagements
Strong communication, consultative selling, and stakeholder management skills

Preferred Qualifications

Experience with Oracle technologies: Autonomous Database, Exadata, OCI GoldenGate, Oracle Analytics Cloud, OCI Data Integration/Data Flow/Object Storage, OCI AI Services
Knowledge of data lakehouse, data mesh, real-time analytics, and hybrid cloud data platforms
Understanding of generative AI use cases, vector search, MLOps, and AI-powered analytics
Experience with BI tools (Oracle Analytics Cloud, Power BI, Tableau, Looker)
Familiarity with competitive platforms (Snowflake, Databricks, BigQuery, Redshift, Synapse)
Relevant certifications in cloud, database, data engineering, analytics, or AI/ML
Experience with large enterprise and strategic accounts

Why Join Us

Help enterprise customers modernize their data landscape and adopt AI-driven innovation using OCI, Autonomous Database, Exadata, GoldenGate, Data Lakehouse, and Oracle Analytics — shaping customer data strategy and driving cloud adoption across strategic accounts.

Data Platform Cloud Presales, Solution Engineer