Cloud Data Solution Architect
Posted Today by N Consulting Global
Negotiable
Undetermined
Hybrid
Northampton, England, United Kingdom
Summary: The Cloud Data Solution Architect role in Northampton, UK, requires a seasoned professional with over 8 years of experience in AWS Cloud Data Architecture and Engineering. The position involves designing and implementing scalable data solutions, ensuring compliance with data standards, and collaborating with various teams to enhance fraud data architecture. The role is hybrid, requiring three days in the office, and is a six-month contract for immediate joiners or those with minimal notice periods.
Key Responsibilities:
- Engage with stakeholders to capture business and technical data needs.
- Create and maintain architecture artifacts, including data flow diagrams and data models.
- Define data dictionaries and document source-to-target mappings.
- Design and implement scalable data solutions using cloud-native tools.
- Conduct technical assessments and lead proof of concepts for cloud technologies.
- Integrate security and privacy controls for sensitive data.
- Liaise with lead architects for approvals and compliance.
- Support solution design and testing phases for data integrity.
- Contribute to standards and participate in architecture working groups.
Key Skills:
- 8+ years of experience as a Data Architect.
- Expertise in AWS Cloud Data Architecture and Engineering.
- Proficiency in data modeling, data mapping, and data privacy assessments.
- Experience with cloud technologies such as Snowflake, Redshift, and Apache Kafka.
- Strong understanding of data governance and compliance standards.
- Ability to design and implement scalable data pipelines.
- Excellent collaboration and communication skills.
Salary (Rate): undetermined
City: Northampton
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role: Cloud Data Solution Architect
Location: Northampton, UK
Work Mode: Hybrid (3 Days from Office)
Contract Role: 6 months
Start Date: Only Immediate Joiners or candidates with max 2-3 weeks’ notice
Role Overview: 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: 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: 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