Spearhead the discovery, evaluation, and integration of new datasets
Facilitate the technical management of data assets
Translate product / analytical vision into highly functional data pipelines
Set the standard for data engineering practices within the company
Requirements
5+ years of experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms
Relevant industry certifications in a variety of Data Architecture services (Databricks Certified Data Engineer Professional, AWS Certified Data Engineer or Solutions Architect Professional, SnowPro® Advanced Architect/Data Engineer, Microsoft Fabric Data Engineer, and dbt Analytics Engineering)
Experience with MLOps and/or developing and maintaining machine learning models and infrastructure
Experience with data visualization tools and analytics technologies (Sigma, Looker, Tableau, etc.)
Degree in Computer Science, Engineering, or related field