The role involves designing and enabling data science and analytics workloads on modern data platforms. The individual will focus on building data pipelines and data models to ensure information is accessible, reliable, and production-ready. Responsibilities include shaping how data is structured, governed, and consumed within enterprise environments. The position requires balancing technical quality with real-world constraints while collaborating across engineering and business teams. The work centers on creating scalable systems that support advanced analytics and data-driven decision-making.

The role requires 36 years of experience in data-focused roles such as data science, analytics engineering, or data platform positions. Candidates must possess strong hands-on experience with Snowflake, Databricks, or Microsoft Fabric, alongside advanced SQL and Python skills. Proficiency in data modelling, data warehousing, and both batch and streaming data pipelines is necessary. Additionally, the applicant must have experience working in cloud environments and collaborating with cross-functional teams to deliver production-ready data assets.