Data Architect
We are seeking a highly skilled data architect to support the development of personalized search capabilities and data assimilation initiatives within our organization.
* Support FY26 initiatives focused on data-driven and personalized search experiences.
* Enhance current search and relevance models, which are presently generic and not tailored to individual users.
* Perform data assimilation related to athlete journey insights and integrate this information into downstream applications.
* Build and optimize data pipelines in collaboration with the broader engineering team.
* Compile, transform, and prepare data for use across multiple business functions.
The ideal candidate will have strong experience working with Python, Databricks, and Kafka, and will contribute directly to ongoing data modernization efforts while aligned to EST time zone.
Key Responsibilities:
* Search Enhancement: Develop and implement personalized search capabilities to enhance user experience.
* Data Assimilation: Integrate athlete journey insights into downstream applications.
* Pipeline Optimization: Collaborate with the engineering team to build and optimize data pipelines.
* Data Preparation: Compile, transform, and prepare data for use across multiple business functions.
Requirements:
* Technical Skills: Strong experience working with Python, Databricks, and Kafka.
* Time Zone Alignment: Aligned to EST time zone.
Benefits:
* Opportunity to work on cutting-edge data projects.
* Collaborative team environment.
* Professional growth and development opportunities.