Senior Data and AI Platform Engineer

About this role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data and AI Platform Engineer based in United States.
This role sits at the core of a modern data and AI platform, shaping how enterprise-scale analytics, BI, and AI-driven workflows are designed, governed, and delivered. You will be responsible for building and evolving a robust Lakehouse architecture that powers trusted data across the organization. The work blends hands-on engineering with platform strategy, requiring both deep technical execution and strong architectural thinking. You will play a central role in enabling self-service analytics, governed datasets, and emerging agentic AI capabilities. Operating within a highly collaborative research and engineering environment, you will partner across multiple functions to translate complex data needs into scalable platform solutions. This is a high-impact role where your work directly influences data reliability, AI readiness, and decision-making across the business.


Accountabilities

• Design, build, and maintain scalable data pipelines and platform components supporting analytics, BI, data science, and AI use cases
• Lead the evolution of a Databricks-based Lakehouse platform, defining architecture, governance models, and engineering standards
• Develop and operate ingestion and transformation pipelines that ensure reliable, high-quality data availability across systems
• Enable enterprise-wide analytics and agentic AI capabilities through trusted datasets, semantic models, and governed data access
• Implement and improve platform capabilities such as data lineage, metadata management, observability, and cost/performance monitoring
• Collaborate with cross-functional teams including data science, engineering, product, and business stakeholders to translate requirements into durable data solutions
• Establish reusable frameworks and best practices for data modeli...