Data and Analytics Architect
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Job Summary
Description
Responsibilities
Qualifications
Core Competencies & Skills
- 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.
- Industry Vertical: Proficiency in at least one Industry vertical will be an added advantage.
Qualifications & Experience
- 8 years of IT/solution architecture experience with at least 4 years in Data integration warehousing and analytics.
- 35 years of 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.
Responsibilities
Customer Engagement & Delivery
- 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 Delivery assets.
- Actively participate in Oracle technology forums and represent the Data and Analytics portfolio in external events.
- Mentor junior solution engineers in Delivery methodologies and demo storytelling.
Qualifications
Career Level - IC4
Required Experience:
Staff IC
Key Skills
- Fund Management
- Drafting
- End User Support
- Infrastructure
- Airlines
- Catia
About Company
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when eve ... View more
