Senior Data and AI Platform Engineer

About this role

As a
Senior Data and AI Platform Engineer
on the Jellyfish Research team, you will support our mission to deliver product innovation, cutting-edge research, and trusted analytics and insights across Jellyfish. You will help build the data and AI platform that powers our internal enterprise-wide analytics, self-service BI, agentic analytics, and AI-enabled workflows.


This role is ideal for a senior individual contributor who is excited to combine traditional data engineering with modern data platform ownership. You will still build ingestion, transformation, and data delivery pipelines, but your broader mandate will be to help make Databricks the trusted foundation for analytics and AI across the company.


You will play a key role in designing and operating our Databricks Lakehouse, governing our data through Unity Catalog, enabling accurate and scalable BI within Databricks, and building the foundation for agentic analytics using capabilities such as Genie, Databricks Apps, Ontology, and other Databricks-native AI and analytics features.


Most importantly, you will be part of a highly talented team working in a fun, challenging, and collaborative environment, building a fast-growing business led by experienced entrepreneurs and backed by top-tier investment partners.


Let’s Talk About What You’ll Do

• Design, build, and maintain data platforms and pipelines that support analytics, data science, BI and AI across Jellyfish.
• Lead the evolution of Jellyfish’s Databricks Lakehouse platform, helping define the architecture, governance model, development patterns, and operating practices that make the platform reliable, scalable, and easy to use.
• Be a leader in enabling enterprise-wide agentic analytics within Databricks with trusted datasets, semantic definitions, well-managed context, and well-governed agentic access.
• Help mature core Databricks platform capabilities, including Unity Catalog, governed data access, data lineage, metadat...