Data and Analytics Solution Architect

The 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 AI—helping 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.
• 3–5 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 Oracle's broader Data, Analytics ecosystem and enterprise integration patterns with competitive information is a plus.

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 everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. 

Customer Engagement & Presales

• 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 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

Career Level - IC3