Role Overview
We are seeking an experienced AWS Data Architect to design and implement cloud-native data solutions on AWS. The role focuses on data management, data lakes, and data warehousing with hands-on expertise in AWS Glue, Redshift, and related services.
Key Responsibilities
- Architect and implement scalable data lake and warehouse solutions using AWS (Glue, Redshift, S3, Lake Formation, Athena).
- Build and optimize ETL/ELT pipelines for structured and unstructured data.
- Define best practices for data governance, security, and cost optimization in AWS.
- Collaborate with engineering and business teams to deliver high-performance data platforms.
Required Skills
- 8+ years in data architecture/engineering, with strong AWS experience.
- Hands-on expertise in AWS Glue, Redshift, Data Lake solutions, and SQL/Python.
- Experience with data modeling, performance tuning, and data governance.
- Strong communication and problem-solving skills.
Preferred
- AWS Certified Solutions Architect / Data Analytics Specialty.
- Experience with streaming (Kinesis, Kafka) and BI tools (QuickSight, Tableau, Power BI).