Minimum 8+ years of experience working as Data Architect for AWS Cloud Dataware house
Data Architecture & Engineering Deliverables
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Understand Data Requirements & Authoritative Data Source Assessment
: Engage early to capture business and technical data needs.
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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.
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Update Architecture Vision and Security Components
: Ensure alignment with AVD (Architecture Vision Delta) and security design decisions.
Cloud & Platform Responsibilities
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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.
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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.
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Ensure Compliance with Data Standards
:
o Apply Barclays Data Architecture Capability Directives and DACM patterns for governance and quality.
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Integrate Security and Privacy Controls
:
o Tokenization, masking, and encryption for PII/PCI data across ingestion and storage layers.
Governance & Approvals
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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
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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.
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Service Transition & RTB Handover
:
o Ensure smooth deployment and operational readiness for production environments.
Continuous Improvement & Standards
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Define and Enhance Standards
: Contribute to Data Dictionary and Data Mapping standards and aide-memoires for consistency.
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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