Responsible for leading the discovery, architecture, and data modelling efforts for a scalable, cloud-native data platform. Oversees end-to-end architecture, CDC design, and ensures alignment with enterprise data strategies.
- Strong experience with cloud-native data architecture (preferably AWS)
- Conceptual, Logical, and Physical Data Modelling
- Data Lakehouse architecture and design
- Hands‑on with ER modelling, normalization, dimensional modelling
- Experience with large-scale structured & semi-structured datasets (e.g., JSON)
- CDC (Change Data Capture) and Data Lineage frameworks
- Data governance and metadata management
- AWS (S3, Glue, Redshift, IAM, KMS)
- Git, GitLab and other Dev/DataOps workflows
- Architecture diagramming tools (Lucidchart, Draw.io)
- Required Skills: AWS, Lucid chart, SQL , Git, GitLab