The consultant will design and implement complex ETL/ELT pipelines and lead data warehousing projects for client engagements. They will collaborate with internal and partner teams to deliver data solutions while ensuring security and compliance.
Lead the delivery of GenAI and Agentic AI workstreams on the Databricks platform from design through production implementation. Provide technical guidance to team members while ensuring solutions meet high standards for quality, security, and scalability.
The Solutions Architect will lead technical strategy, design end-to-end ML pipelines, and drive pre-sales engagements from scoping to delivery. They will also direct cross-functional teams to build scalable AI/ML applications while defining business-value metrics for clients.
Design and deploy enterprise-grade Generative AI solutions, including RAG pipelines and AI agents, primarily on the Databricks platform. Lead client-facing engagements, oversee junior engineers, and develop evaluation frameworks to ensure model scalability and security.
This is a general application for candidates to connect with the company for future opportunities. The role involves helping enterprises modernize data and implement AI in production.
Design and deploy enterprise-grade Generative AI solutions, including RAG pipelines and AI agents, specifically on the Databricks platform. Lead client-facing engagements and oversee the work of junior consultants to deliver high-impact AI applications.
Lead the design and implementation of complex ETL/ELT pipelines and data warehousing projects for clients. Collaborate with internal and external stakeholders to deliver data integrations and real-time processing solutions.
Lead strategic client relationships and oversee the delivery of data consulting engagements to ensure quality and satisfaction. Drive account growth through identifying upsell opportunities and managing revenue and margin targets.
