Minimum 8+ years of experience working as Data Architect for AWS Cloud Dataware house
Data Architecture & Engineering Deliverables
Understand Data Requirements & Authoritative Data Source Assessment: Engage early to capture business and technical data needs.
Create and Maintain Architecture Artifacts:
Data Flow Diagrams (DFD) and Logical/Physical Data Models for end-to-end lineage.
Data Dictionary: Define entities, attributes, naming conventions, encryption/tokenization requirements, and traceability for compliance.
Data Mapping Sheets: Document source-to-target mappings, lineage, and transformation logic for all critical flows.
Data Privacy Impact Assessment (DPIA) for sensitive data projects.
Update Architecture Vision and Security Components: Ensure alignment with AVD (Architecture Vision Delta) and security design decisions.
Design and Implement Data Solutions:
Design & Build scalable pipelines (Batch and real-time) using cloud-native tools/frameworks (DIHOP, DIHOC, AWS Glue, DBT, Snowflake, Databricks).
Apply architectural patterns for data lakes, streaming, and batch processing.
Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka.
Technical POCs:
Technical assessment of Cloud data technologies to leverage considering Fraud Business and technical requirements.
Design, execute and lead POC’s involving Cloud technologies to validate/support the assessment.
Ensure Compliance with Data Standards:
Data Architecture Capability Directives and DACM patterns for governance and quality.
Integrate Security and Privacy Controls:
Tokenization, masking, and encryption for PII/PCI data across ingestion and storage layers.
Governance & Approvals
Liaise with Lead Architects Guild and Control Tribes
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