Jobs → Data & Analytics → AWS Data Architect

About the Role We are looking for an experienced AWS Data Architect to lead the design and implementation of an enterprise-grade AWS DataHub / Lakehouse platform. Key Responsibilities • Architect and implement scalable DataHub solutions on AWS using S3, Athena, Aurora, Glue, and Redshift • Build and manage robust ingestion pipelines from databases, APIs, flat files, and SaaS platforms • Orchestrate data workflows using AWS MWAA (Managed Apache Airflow) • Design dimensional and snowflake data models for data warehousing and analytics enablement • Establish comprehensive data governance, access controls (IAM / Lake Formation), data lineage, and data quality frameworks • Develop secure data exchange frameworks, intake processes, and SLAs for internal teams and external vendors/partners • Enable BI and reporting layers using Amazon QuickSight and Power BI Requirements • Core AWS Stack: AWS MWAA, Apache Airflow, Athena, Aurora, QuickSight • AWS Data Services: S3, Glue, Redshift, Lake Formation, Step Functions, CloudWatch, EventBridge • Programming & Querying: Python, SQL, PySpark • Data Modeling: Proven experience designing star/snowflake schemas and Lakehouse architectures • Experience with data cleansing, normalization, and governance best practices