Senior Data Architect
Transform your career as a senior data architect.
We are looking for a skilled professional who wants to learn and transform their career.
* Design and implement an AWS Serverless DataLake architecture to efficiently handle large volumes of data and support various data processing workflows;
* Develop data ingestion pipelines and data integration processes, ensuring the smooth and reliable transfer of data from various sources into the DataLake;
* Implement data transformation and data enrichment processes using AWS Lambda, Glue, or similar serverless technologies to ensure data quality and consistency;
* Collaborate with data scientists and analysts to understand their data requirements and design appropriate data models and schemas in the DataLake;
* Optimize data storage and retrieval mechanisms, leveraging AWS services such as S3, Athena, Redshift, or DynamoDB, to provide high-performance access to the data;
* Mentor and provide technical guidance to junior data engineers, fostering their growth and ensuring adherence to best practices;
Requirements:
- Extensive experience working as a senior data architect, with a strong focus on AWS technologies and serverless architectures;
- In-depth knowledge of AWS services such as S3, Lambda, Glue, Athena, Redshift, and DynamoDB, and their capabilities for building scalable data processing systems;
- Strong programming skills in languages like Python, Java, or Scala, along with experience using SQL for data manipulation and querying;
- Hands-on experience with data integration and ETL tools, such as AWS Glue or Apache Spark, for transforming and processing data;
- Familiarity with data modeling techniques and data warehousing concepts, including star and snowflake schemas;
- Solid understanding of data security, access control, and compliance requirements in a data-driven environment;