Data Platform Architect – Data & AI Practice Remote FS463

Profile: Senior hands-on architect who can design solutions explain architectural choices build prototypes and guide teams through implementation.

Role Overview
We are looking for a hands-on Data Platform Architect to help establish and scale our Data & AI Practice. The role combines modern cloud data architecture technical solutioning client advisory and engineering leadership to deliver enterprise data modernization and AI-ready platforms.
Key Responsibilities

• Customer Obsession: Work backwards from customer and end-user needs to design solutions that deliver measurable business value. Build trusted advisory relationships with customers guiding technology decisions and long-term architecture strategy.
• Platform Architecture: Design scalable cloud-native data platforms covering ingestion integration lakehouse/warehouse processing governance analytics and AI enablement.
• AI-Ready Architecture: Design data integration patterns supporting enterprise AI including RAG LLM integration agentic workflows and MCP-based connectivity.
• Hands-on Solutioning: Lead technical discovery architecture workshops POCs/MVPs and guide engineering teams through implementation.
• Modernization: Architect migration and integration of legacy enterprise data into modern cloud platforms incorporating MDM Data Quality and Governance.
• Practice Development: Build reusable reference architectures accelerators and implementation patterns and contribute to technology partnerships and client proposals.

Required Expertise & Experience

• Strong hands-on experience architecting and implementing enterprise data platforms on AWS with a solid understanding of Azure and GCP architectures comparative strengths trade-offs and evolving technology roadmaps.
• Deep expertise in Databricks and Snowflake including lakehouse architecture data engineering pipelines integration patterns and native AI capabilities. Strong architectural familiarity with both platforms is expected.
• Working knowledge of GenAI architectures including RAG LLM integration agentic AI and MCP.
• Strong understanding of enterprise data management including MDM Data Quality Governance security and production operations. Familiarity with leading platforms such as Reltio Informatica Collibra and Alation including their integration into enterprise data architectures.
• Ability to translate business requirements into architecture develop working prototypes and provide technical leadership during delivery.
• North American Customer Experience: Minimum 5 years of direct engagement with North American customers including technical discovery architecture discussions solution advisory and stakeholder management.
• Strong client-facing communication solution architecture and technical thought-leadership skills.

Preferred: Experience in enterprise modernization programs AI-ready data platforms and consulting or practice-building environments.

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Required Experience:

Senior Manager