Data Architect Position
We are seeking a skilled Data Architect to design and implement an AWS Serverless DataLake architecture that efficiently handles large volumes of data and supports various data processing workflows.
* This role involves designing and implementing data ingestion pipelines and integration processes, ensuring the smooth transfer of data from various sources into the DataLake.
* The successful candidate will implement data transformation and enrichment processes using AWS Lambda, Glue, or similar technologies to ensure data quality and consistency.
* Collaboration with data scientists and analysts is essential to understand their data requirements and design appropriate data models and schemas in the DataLake.
* Optimizing data storage and retrieval mechanisms, leveraging AWS services such as S3, Athena, Redshift, or DynamoDB, is critical to provide high-performance access to the data.
* Maintenance of the DataLake infrastructure is necessary, identifying and resolving performance bottlenecks, data processing errors, and other issues.