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:
o Data Flow Diagrams (DFD) and Logical/Physical Data Models for end-to-end lineage.
o Data Dictionary: Define entities, attributes, naming conventions, encryption/tokenization requirements, and traceability for compliance.
o Data Mapping Sheets: Document source-to-target mappings, lineage, and transformation logic for all critical flows.
o 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:
o Design & Build scalable pipelines (Batch and real-time) using cloud-native tools/frameworks (DIHOP, DIHOC, AWS Glue, DBT, Snowflake, Databricks).
o Apply architectural patterns for data lakes, streaming, and batch processing.
o Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka.
· Technical POCs
o Technical assessment of Cloud data technologies to leverage considering Fraud Business and technical requirements
o Design, execute and lead POC’s involving Cloud technologies to validate/support the assessment.
· Ensure Compliance with Data Standards:
o Apply Barclays Data Architecture Capability Directives and DACM patterns for governance and quality.
· Integrate Security and Privacy Controls:
o Tokenization, masking, and encryption for PII/PCI data across ingestion and storage layers.
Governance & Approvals
· Liaise with Lead Architects Guild and Control Tribes:
o Present artifacts for review and sign-off in forums like TAC, EDP ARB, and Fraud Design Authority.
· Secure Mandatory Approvals:
o CAF1 (Non-Prod) and CAF2 (Prod) for environment readiness.
o CARA, DPIA and DARB for architecture compliance.
Collaboration & Lifecycle Support
· Work with Solution Architects and Engineering Teams:
o Assist in solution design, low-level design, and component build.
o Support SIT, OAT, and E2E testing phases for data integrity and performance.
· Service Transition & RTB Handover:
o 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