We are seeking a Senior Data Architect with expertise in AWS cloud architecture, data engineering, and Python programming. The ideal candidate will have extensive experience designing and implementing cloud-based data solutions, working with big data technologies, Spark, and MSSQL. This role requires hands-on experience in cloud migration, data modeling, and scalable data engineering solutions.
Responsibilities: -
Architect and implement scalable data solutions on AWS , ensuring high performance and cost efficiency.
Develop and optimize ETL pipelines and data ingestion workflows using Spark, AWS Glue, and other AWS data services .
Lead data migration efforts from on-premise MSSQL databases to AWS cloud .
Design big data solutions , leveraging Spark, Hadoop ecosystem, and PySpark for large-scale data processing.
Build and manage SQL-based data models and transformations using DBT and PLSQL .
Implement containerized data solutions using Docker and Kubernetes for scalable deployment.
Collaborate with stakeholders to define data strategy, governance, and architecture best practices .