Data and Analytics Architect

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.
• 3–5 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.

Customer Engagement & Delivery

• Lead customer workshops, demos, and RFP solutioning, translating business pain points into datalake solutions and AI-enabled use cases.
• Articulate Oracle’s 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 architectures—spanning data lakes, lakehouses, and enterprise applications—integrating 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.