Join our team as a Data Platform Engineer and play a key role in shaping our data architecture. You will contribute to the blueprint and design of the data platform, ensuring seamless integration across various data platform components.

This role involves close collaboration with Integration Architects and Data Architects to guarantee cohesive integration between systems and the underlying data models. A forward-thinking mindset with an AI-first approach is essential for this position.

We are seeking individuals who can leverage Generative and Agentic AI frameworks to develop enterprise-grade solutions. The goal is to drive innovation, enhance efficiency, and facilitate business transformation through AI-powered technologies.

Assist in the development of the data platform blueprint and design, focusing on relevant components. Collaborate with Integration Architects and Data Architects to ensure cohesive system and data model integration. Apply Generative and Agentic AI to design and deliver AI-driven solutions that address complex business challenges. Automate processes and integrate intelligent insights into enterprise workflows for measurable impact. Contribute to reinventing business facets using AI and data, with a strong emphasis on responsible application.

A minimum of 2 years of experience in a relevant data engineering or architecture role is required. Proficiency with the Databricks Unified Data Analytics Platform is a must. A strong understanding of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks is essential. Ability to align AI capabilities with business objectives is crucial. Ensure solutions are scalable, responsibly used, and deliver tangible value.