This job is no longer available
There are still lots of open positions. Let's find the one that's right for you.
The position involves a comprehensive role in Data Architecture, Data Modeling and Warehousing, Data Access, Data Pipelines, and MLOps/DevOps. The candidate will be responsible for designing and implementing data platforms and infrastructure, ensuring considerations around data storage strategy, security, latency, reliability, scalability, and costs. The role requires providing thought leadership on data management and governance from a data architecture perspective, including data granularity and cross-application data access design. Additionally, the candidate will create relational and NoSQL data models, design and build databases, and implement data lakes for analytics and AI/ML use cases. The position also involves designing database query infrastructure for custom machine learning applications and implementing ETL pipelines to ingest data from various sources. Furthermore, the candidate will manage production ML workflows and ensure continuous monitoring of production models' effectiveness.
