Data Designer/ Data Solution Architect

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