We are seeking an experienced AWS Data Architect with 12–15 years of overall IT experience and strong expertise in enterprise data architecture, AWS Cloud, and data engineering. The ideal candidate will be responsible for designing, developing, and implementing scalable, secure, and high-performance data solutions on AWS.
The candidate should have extensive experience in data lakes, data warehouses, ETL/ELT pipelines, cloud migration, and data modernization initiatives. Strong technical leadership, architecture design, and stakeholder-m* Design and implement scalable, secure, and cost-effective enterprise data architectures on AWS.
* Lead the architecture and development of cloud-based data lakes, data warehouses, and data integration solutions.
* Develop and optimize ETL/ELT pipelines using AWS Glue, PySpark, Spark, and other AWS services.
* Architect data solutions using AWS S3, Redshift, EMR, Athena, Lambda, and Step Functions.
* Define data modeling, data governance, data quality, metadata management, and data security standards.
* Optimize data processing, query performance, scalability, and cloud infrastructure costs.
* Lead AWS cloud migration, data platform modernization, and enterprise data transformation initiatives.
* Implement Infrastructure as Code (IaC), CI/CD pipelines, and AWS DevOps best practices.
* Provide technical leadership, conduct architecture reviews, and mentor data engineering teams.
* Collaborate with business stakeholders, data engineers, cloud teams, and enterprise architects to translate business requirements into technical solutions.
Never miss an opportunity! Create an alert based on the job you applied for.
