DescriptionThe ideal candidate combines deep expertise in data warehouse/ lakehouse architectures data engineering and analytics with the ability to envision and articulate AI-enabled solutions for customer business challenges. This role operates at the intersection of data platforms integrations analytics and AIhelping customers reimagine decision-making and operational workflows through GenAI intelligent agents ML-driven insights and advanced analytics on unified data foundations.
Unlike a pure data engineering role this position is customer-facing and solution-oriented requiring strong presales skills value-based storytelling and the ability to design conceptual architectures that integrate AI/ML with enterprise data platforms applications and operational systems.
What We Offer
- A strategic role shaping enterprise-grade data and analytics solutions leveraging lakehouse architectures and applied AI/GenAI.
- Opportunity to collaborate with senior architects and global teams on high-impact data modernization and AI-driven transformation initiatives.
- A culture that encourages innovation experimentation and continuous learning across data engineering analytics and AI technologies.
- Strong exposure to global delivery teams and product teams and end-to-end solution cycles from visioning to value realization.
Core Competencies & Skills
- Presales & Storytelling: Excellent communication and executive engagement skills; ability to simplify data lakehouse and AI concepts for CxOs.
- Technology Breadth: Strong background in database integrations and analytics (Oracle Database and Data Integration platforms Oracle Analytics Cloud)
- AI Enablement: Familiarity with GenAI LLMs Machine Learning Python
- Demo Innovation: Hands-on capability with Oracle Data Integrator Python Oracle Analytics/ Fusion Data Intelligence for creating impactful demos.
- Enterprise Architecture: Ability to design hybrid/multi-cloud architectures with scalability security and compliance in mind.
- Collaboration: Proven ability to work across sales consulting and product engineering teams in highly distributed environments.
Qualifications & Experience
- 12 years of IT/solution architecture experience with at least 6 years in Data integration warehousing and analytics.
- 35 years of presales/solutioning exposure with practical experience in demos POCs or customer workshops.
- Familiarity with Oracle Cloud Infrastructure (OCI) Oracle Data Integration Oracle Analytics/Fusion Data Intelligence and multi-cloud ecosystems.
- Familiarity or experience with products like Databricks Microsoft Fabric
- Excellent written and verbal communication skills with experience influencing both technical and business leaders.
- Experience contributing to community initiatives publishing whitepapers or speaking at tech events.
- Familiarity with Oracles broader Data Analytics ecosystem and enterprise integration patterns with competitive information is a plus.
ResponsibilitiesCustomer Engagement & Presales
- Lead customer workshops demos and RFP solutioning translating business pain points into datalake solutions and AI-enabled use cases.
- Articulate Oracles AI Data Platform Analytics and AI solutions to business and IT stakeholders.
- Lead solutioning to deliver compelling demo assets.
Solution Architecture & Design
- Design and propose modern data and analytics architecturesspanning data lakes lakehouses and enterprise applicationsintegrating Oracle SaaS on-prem and third-party systems using contemporary integration patterns while incorporating selective AI capabilities such as vector search RAG and intelligent automation where they add business value.
- Provide design decisions estimates and staffing/schedule inputs for customer pursuits.
Technical Thought Leadership
- Contribute to best practices through blogs whitepapers and reusable presales assets.
- Actively participate in Oracle technology forums and represent the Data and Analytics portfolio in external events.
- Mentor junior solution engineers in presales methodologies and demo storytelling
QualificationsCareer Level - IC3
Required Experience:
Staff IC
DescriptionThe ideal candidate combines deep expertise in data warehouse/ lakehouse architectures data engineering and analytics with the ability to envision and articulate AI-enabled solutions for customer business challenges. This role operates at the intersection of data platforms integrations an...
DescriptionThe ideal candidate combines deep expertise in data warehouse/ lakehouse architectures data engineering and analytics with the ability to envision and articulate AI-enabled solutions for customer business challenges. This role operates at the intersection of data platforms integrations analytics and AIhelping customers reimagine decision-making and operational workflows through GenAI intelligent agents ML-driven insights and advanced analytics on unified data foundations.
Unlike a pure data engineering role this position is customer-facing and solution-oriented requiring strong presales skills value-based storytelling and the ability to design conceptual architectures that integrate AI/ML with enterprise data platforms applications and operational systems.
What We Offer
- A strategic role shaping enterprise-grade data and analytics solutions leveraging lakehouse architectures and applied AI/GenAI.
- Opportunity to collaborate with senior architects and global teams on high-impact data modernization and AI-driven transformation initiatives.
- A culture that encourages innovation experimentation and continuous learning across data engineering analytics and AI technologies.
- Strong exposure to global delivery teams and product teams and end-to-end solution cycles from visioning to value realization.
Core Competencies & Skills
- Presales & Storytelling: Excellent communication and executive engagement skills; ability to simplify data lakehouse and AI concepts for CxOs.
- Technology Breadth: Strong background in database integrations and analytics (Oracle Database and Data Integration platforms Oracle Analytics Cloud)
- AI Enablement: Familiarity with GenAI LLMs Machine Learning Python
- Demo Innovation: Hands-on capability with Oracle Data Integrator Python Oracle Analytics/ Fusion Data Intelligence for creating impactful demos.
- Enterprise Architecture: Ability to design hybrid/multi-cloud architectures with scalability security and compliance in mind.
- Collaboration: Proven ability to work across sales consulting and product engineering teams in highly distributed environments.
Qualifications & Experience
- 12 years of IT/solution architecture experience with at least 6 years in Data integration warehousing and analytics.
- 35 years of presales/solutioning exposure with practical experience in demos POCs or customer workshops.
- Familiarity with Oracle Cloud Infrastructure (OCI) Oracle Data Integration Oracle Analytics/Fusion Data Intelligence and multi-cloud ecosystems.
- Familiarity or experience with products like Databricks Microsoft Fabric
- Excellent written and verbal communication skills with experience influencing both technical and business leaders.
- Experience contributing to community initiatives publishing whitepapers or speaking at tech events.
- Familiarity with Oracles broader Data Analytics ecosystem and enterprise integration patterns with competitive information is a plus.
ResponsibilitiesCustomer Engagement & Presales
- Lead customer workshops demos and RFP solutioning translating business pain points into datalake solutions and AI-enabled use cases.
- Articulate Oracles AI Data Platform Analytics and AI solutions to business and IT stakeholders.
- Lead solutioning to deliver compelling demo assets.
Solution Architecture & Design
- Design and propose modern data and analytics architecturesspanning data lakes lakehouses and enterprise applicationsintegrating Oracle SaaS on-prem and third-party systems using contemporary integration patterns while incorporating selective AI capabilities such as vector search RAG and intelligent automation where they add business value.
- Provide design decisions estimates and staffing/schedule inputs for customer pursuits.
Technical Thought Leadership
- Contribute to best practices through blogs whitepapers and reusable presales assets.
- Actively participate in Oracle technology forums and represent the Data and Analytics portfolio in external events.
- Mentor junior solution engineers in presales methodologies and demo storytelling
QualificationsCareer Level - IC3
Required Experience:
Staff IC
View more
View less