Data Platform Architect – Data & AI Practice

• Help establish and scale the Data & AI Practice
• Work backwards from customer and end-user needs to design solutions delivering measurable business value
• Build trusted advisory relationships with customers and guide technology decisions and long-term architecture strategy
• Design scalable, cloud-native data platforms covering ingestion, integration, lakehouse/warehouse, processing, governance, analytics, and AI enablement
• Design data integration patterns supporting enterprise AI, including RAG, LLM integration, agentic workflows, and MCP-based connectivity
• Lead technical discovery, architecture workshops, POCs/MVPs, and guide engineering teams through implementation
• Architect migration and integration of legacy enterprise data into modern cloud platforms, incorporating MDM, Data Quality, and Governance
• Build reusable reference architectures, accelerators, and implementation patterns
• Contribute to technology partnerships and client proposals

• Senior hands-on architect able to design solutions, explain architectural choices, build prototypes, and guide teams through implementation
• Strong hands-on experience architecting and implementing enterprise data platforms on AWS
• 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 Databricks and Snowflake
• 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 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
• 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

• Permanent employment
• Remote work arrangement