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.