We are looking for a Data & Analytics Architect with strong experience in modern data platforms and applied AI. 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 delivery skills, value-based storytelling, and the ability to design conceptual architectures that integrate AI/ML with enterprise data platforms, applications, and operational systems.
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Responsibilities
- Lead customer workshops, demos, and RFP solutioning, translating business pain points into datalake solutions and AI-enabled use cases.
- Articulate the company's AI Data Platform, Analytics and AI solutions to business and IT stakeholders.
- Lead solutioning to deliver compelling demo assets.
- Design and propose modern data and analytics architectures—spanning data lakes, lakehouses, and enterprise applications—integrating the company's 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.
- Contribute to best practices through blogs, whitepapers, and reusable delivery assets.
- Actively participate in the company's technology forums and represent the Data and Analytics portfolio in external events.
- Mentor junior solution engineers in delivery methodologies and demo storytelling.
Requirements
- 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 the company's Cloud Infrastructure (OCI), the company's Data Integration, the company's 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.
