Description

Design and implement cloud-native data architectures, focusing on data lakehouse patterns and governance.

This role is on-site.

Responsibilities

• Architect scalable data solutions using AWS services including S3, Glue, Redshift, IAM, and KMS.
• Perform conceptual, logical, and physical data modeling, including ER modeling, normalization, and dimensional modeling.
• Design data lakehouse architectures for large-scale structured and semi-structured datasets (e.g., JSON).
• Implement CDC (Change Data Capture) and data lineage frameworks to ensure data integrity.
• Manage data governance, metadata management, and maintain architecture diagrams using Lucidchart or Draw.io.

Required Skills

• 5+ years of experience in data architecture and engineering.
• Strong expertise in AWS data services (S3, Glue, Redshift, IAM, KMS).
• Proficiency in data modeling tools such as ER/Studio and Lucidchart.
• Hands-on experience with dbt, SQL Developer, and GitLab for Dev/DataOps workflows.
• Deep understanding of data governance, metadata management, and lineage frameworks.
• Experience handling large-scale structured and semi-structured data.

Preferred Skills

• Bachelor's degree in Computer Science, Engineering, or related field.
• Experience with specific tenure in data architecture roles (2-3 years minimum).

Key Skills

Education

Bachelor's degree