Key Responsibilities
* 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: 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.
Role
Senior Data Architect
Experience
10 years
Location
Northampton, UK
Work mode
Hybrid
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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