Solution Architect

About the job

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. 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.

Requirements

• Data engineering
• AI-enabled solutions
• Presales skills
• Analytics
• Solution architecture

Qualifications

• 12+ years of solution architecture experience
• 6 years in Data integration
• 3-5 years presales exposure

Preferred Technologies

• Data engineering
• AI-enabled solutions
• Presales skills
• Analytics
• Solution architecture

About the company

Oracle is a leading cloud applications and platform services provider.