Data/ Solution Architect

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

Minimum 8+ years of experience working as Data Architect for AWS Cloud Dataware house Data Architecture & Engineering Deliverables