Verified Job
Engineering - Architecture
Data Platform Cloud Presales, Solution Engineer
Engineering - Architecture
#737985
Remote / WFH
Oracle
Job Description
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.
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.
