
Data Platform Architect β Data & AI Practice
Posted Oct 22

Posted Oct 22
This is a fully remote position, open to applicants in India.
β’ Assist in the establishment and expansion of the Data & AI Practice
β’ Reverse engineer solutions based on the needs of customers and end-users to deliver quantifiable business value
β’ Cultivate trusted advisory relationships with clients and direct technology decisions along with long-term architectural strategies
β’ Create scalable, cloud-native data platforms that encompass ingestion, integration, lakehouse/warehouse, processing, governance, analytics, and AI enablement
β’ Develop data integration patterns that facilitate enterprise AI, including RAG, LLM integration, agentic workflows, and MCP-based connectivity
β’ Lead technical discovery sessions, architecture workshops, POCs/MVPs, and provide guidance to engineering teams throughout the implementation process
β’ Architect the migration and integration of legacy enterprise data into contemporary cloud platforms, incorporating MDM, Data Quality, and Governance
β’ Create reusable reference architectures, accelerators, and implementation patterns
β’ Contribute to technology partnerships and draft client proposals
β’ Senior hands-on architect capable of designing solutions, articulating architectural choices, building prototypes, and leading teams through implementation
β’ Extensive hands-on experience in architecting and deploying enterprise data platforms on AWS
β’ Comprehensive understanding of Azure and GCP architectures, including their comparative advantages, trade-offs, and evolving technology roadmaps
β’ Profound expertise in Databricks and Snowflake, covering lakehouse architecture, data engineering, pipelines, integration patterns, and native AI functionalities
β’ Practical knowledge of GenAI architectures, including RAG, LLM integration, agentic AI, and MCP
β’ Strong grasp of enterprise data management principles, including MDM, Data Quality, Governance, security, and production operations
β’ Familiarity with Reltio, Informatica, Collibra, and Alation, including their integration within enterprise data architectures
β’ Capability to translate business requirements into architectural frameworks, develop functioning prototypes, and offer technical leadership during the delivery phase
β’ At least 5 years of direct interaction with North American clients, encompassing technical discovery, architecture discussions, solution advisory, and stakeholder management
β’ Excellent client-facing communication skills, solution architecture abilities, and technical thought leadership
β’ Permanent employment
β’ Remote work arrangement
GT
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