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The Data Engineer will design and implement data architecture solutions, lead technical discovery sessions, and build scalable data pipelines while collaborating with cross-functional teams to meet business needs.

Lead client discovery and product strategy for AI-enabled products, align stakeholders, define value-driven roadmaps, and maintain product ownership through delivery. Coach and build the product/design practice, support presales and account growth, and embed AI-enabled workflows, governance, evaluation, and change management into client engagements and internal practices.

Drive execution of AI and software programs across engineering, product, and partners. Own schedules, dependencies, status, and risk tracking; coordinate backend, frontend, ML/AI, and data workstreams; communicate progress to stakeholders and improve delivery processes.

Design and implement robust backend architectures using Node.js and TypeScript, focusing on scalable services and pipelines, while ensuring code integrity and optimizing performance.