Posted 12 days ago
Description
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.
Cloud & Platform Responsibilities
- 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:
- Apply Barclays 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:
- Present artifacts for review and sign-off in forums like TAC, EDP ARB, and Fraud Design Authority.
- Secure Mandatory Approvals:
- CAF1 (Non-Prod) and CAF2 (Prod) for environment readiness.
- CARA, DPIA and DARB for architecture compliance.
Collaboration & Lifecycle Support
- Work with Solution Architects and Engineering Teams:
- Assist in solution design, low-level design, and component build.
- Support SIT, OAT, and E2E testing phases for data integrity and performance.
- Service Transition & RTB Handover:
- Ensure smooth deployment and operational readiness for production environments.
Continuous Improvement & Standards
- Define and Enhance Standards: Contribute to Data Dictionary and Data Mapping standards and aide-memoires for consistency.
- Participate in Architecture Working Groups: Drive adoption of reusable patterns, accelerators, and compliance frameworks.
- Works closely with CTO, CDO and other Solution Architects to deliver Fraud solutions at highest standards.
- Responsible for designing, sustaining & enhancing Fraud data architecture
- Responsible for hands-on design and implementation of integrated Fraud based data solutions that are scalable, built for rapid change and meets functional and non-functional requirements
- Assist in planning, architecture, analysis, and design of applications and integrate with legacy systems
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