London Area, United Kingdom
Architecture Summary 1. Cloud Strategy 2. Cloud Infrastructure Design 3. Cyber Security, Risk and Compliance 4. Scalability and Performance 5. Cost Optimization 6. Integration and Migration 7. Collaboration and Communication Technical Skills Summary AWS: EC2, VPC, EKS, lambda, S3, EBS, EFS, Route53, ELB, WAF, RDS, DynamoDB, Redshift, EMR, Kinesis, Sagemaker, Glue, EventBridge, SQS, SNS, Cloudwatch, Cloudformation, IAM, KMS, Auto Scaling, 3, CloudTrail, Trusted Advisor, ElasticSearch, Elasticache, AMI, Tags & Key Pairs, Network Management, Security Groups. NACLs QuickSight, Kinesis Streams, Snowball. MariaDB (DBMS) and AWSSCT (AWS Schema Migration Tool). AWSCR (AWS Config Rules), ELK, (ElasticSearch/Logstash/Kibana), Inspector AWS Directory Services (Simple AD, AD Connector and Microsoft AD) Azure: VM’s, AKS, Azure Functions, Blob Storage, Managed Disks, File Storage, Virtual Networks, DNS, Load Balancers, WAF, SQL Databases, Cosmos DB, Synapse Analytics, HDInsight, Streaming Analytics, Machine Learning, Azure Data Factory (ADF), Purview, Databricks, EventGrid, Storage Queue, Service Bus, Monitor, Resource Manager, Active Directory, KeyVault GCP: Compute Engine, Google Kubernetes Engine (GKE), Cloud Functions, Cloud Storage, Persistent Disks, File Store, VPC, Cloud DNS, Cloud Load Balancing, Cloud Armor, Cloud SQL, Firebase, BigQuery, Big Table, Firestore, Spanner, Data Studio, Dataproc, Dataflow, Vertex AI, Data Fusion, Eventarc, Pub/sub, Cloud Monitoring, Deployment Manager, Cloud Identify, Cloud KMS Blockchain: DeFi, AWS Blockchain as a Service, Hyperledger Fabric, Enterprise Blockchain and the Supply Chain, Web3 Application Development, NFT Fundamentals, Metaverse Technology, Generative AI & LLMs: Chat GPT, Transformer Architecture, tokenization & Vectors. Prompt Engineering. Model types & Applications. Machine Learning (Supervised/unsupervised) Data & AI/MLVision: Ability to strategize and create Vision: Data Management & Data Governance, Solution Architecture & Technology, Data & AI Protection, Privacy & Regulation, Human Skills, TOM, Data Science & ML/AI Algorithms & Architecture Patterns – Azure OpenAI & AWS Bedrock. Azure AI Landing Zone strategies & frameworks in Azure (AutomatedML Designer, Computer Vision, NLP) AWS (Comprehend, Polly, Lex, Rekognition), & GCP (MLFlow, TensorFlow, KubeFLow). Cognitive Services, Computer Vision, Natural Language, Knowledge Mining, and Conversational AI. Familiarity with the EU AI Act Nutanix Private Cloud and Multi Cloud
Working with the Chief Architect and CTO to build and support an enterprise architecture to ensure our architectural strategy and processes are aligned with and underpin the overarching technology and business strategies. Working across functions and programme areas, define and execute strategic planning in support of the Technical Strategy to drive common approaches, information assets and processes across the organisation. Capture & Document and understand the interaction between internal systems, external systems, databases and people for key functional areas in the Sales and Content departments. Cloud Architecture: Create the architecture and design for cloud services in collaboration with stakeholders, ensuring that services integrate well, have the appropriate instrumentation, conform to generic and cloud specific principles and standards and are optimised around the needs of stakeholders. Architecture Governance: Defined and managed a framework of cloud architectural governance in collaboration with existing architecture forums to ensure there is a group-wide approach to the architectural management and decisions of our cloud infrastructure. Cloud Principles & Standards: Established and lead on cloud architecture principles, standards, governance framework across solution, technical, infrastructure, data, security disciplines, to guide decision making. Creation of principles that include regulatory compliance such as GDPR and adherence to Treating Customers Fairly principles Strategic analysis, advice and innovation: Work with different members of the cloud community to ensure effective use of our cloud environments inline with FinOps, service adoption, governance and best practice. Generative AI/MCP concepts using AI Agent and AI Workflow, using n8n. Lead the data team to build of proof of value solutions demonstrating further value in the adoption of cloud services with AI Contributed to the analysis of emerging cloud technology industry and market trends
Strategic Development and Execution: Developed and implemented enterprise-level technology strategies, contributing to the successful definition and execution of associated programs of work. Delivered complex, large-scale architectural solutions on cloud and hybrid environments, seamlessly integrating cloud platforms into the wider enterprise. Operational Excellence: Created a coherent operating environment at the enterprise level, avoiding reduction to the lowest common denominator capability set. Cloud Platform Proficiency: Demonstrated strong knowledge of traditional platform delivery approaches, technologies, and operating models. Thoroughly appreciated the capabilities of major cloud platforms (GCP, Azure, and AWS), balancing trade-offs between “one size fits all” vs “landing zone specific” solutions. Operating Model Design: Contributed to the design and implementation of operating models for both legacy and cloud environments. Managed technical reviews and assessments of cloud strategies, roadmaps, cloud data models, cloud integration, and migration tools. Leadership and Collaboration: Thrived in a diverse team culture, inspiring and motivating colleagues through knowledge-sharing, coaching, and advisory roles. Provided highly credible and informative thought leadership based on real-life experience, enhancing client trust and engagement. Client Relationship Management: Developed strong client relationships with senior stakeholders, understanding their business problems and identifying commercial opportunities. Supported customers throughout transformation journeys, ensuring successful implementation of major change initiatives. Technical Vision and Implementation: Outlined and communicated overall technical vision to business leaders, working in progressively more detail to deliver viable enterprise-wide solutions. Designed and built cloud/technology roadmaps, implementation strategies, transformation plans, and high-level architecture.
Cloud Bridge are an advanced AWS partner, with presence in UAE, Europe and Far East. As an Enterprise Solutions Architect I am responsible for: • Spearheading the creation of our internal CCoE and TDA, while also upselling the concept to our clients • Pre-sales scoping calls as well as discovery and analysis of applications prior to migrations • Developing and maintaining enterprise architecture models, frameworks, and roadmaps that support the organization's (and its clients) strategic objectives and business processes. • Representing Cloud Bridge as a TAM for 2 key clients, while also Collaborating with business stakeholders, IT teams, and other relevant departments to gather requirements, analyse needs, and define architecture solutions that address current and future challenges. • Providing guidance and expertise on architectural design principles, standards, and best practices to ensure alignment with industry regulations, security protocols, and performance requirements. • Lead the design and implementation of scalable and flexible architecture solutions that facilitate interoperability, data exchange, and seamless integration across many systems. • Conduct architecture reviews (TDA), assessments, and audits to ensure compliance with established standards, guidelines, and policies, recommending corrective actions as needed. • Reviewing designs and making sure that clients follow the ‘Well Architected Framework. Perform reviews, and migrations (Assess, Discovery and Mobilize) • Cloud Solutions in, AWS, Azure & GCP, from Landing Zone designs to complex migrations • Producing End to End High level and low-level architecture designs with proven ability to work closely and effectively with DevSecOps and support/SRE teams. • Designing & developing architectural designs, including system components, interfaces, and integration points, together with blueprints, frameworks, and best practices • Setting up Agile development methodologies (eg, Scrum, Kanban).
• Streamlined Migration Efforts: Successfully led and drove the Technology Consultancy Services (TCS) team to consistently produce high-quality Project Artefacts within committed deadlines. • Diverse Application Migration: Oversaw the migration of a wide range of critical applications, including Identity and Access Management (IDAM) solutions (CyberArk, Ping Identity, Federate, Microsoft Entra, Oracle Virtual Directory), Privileged Access Management (PAM), Directory and Authentication services, • Rigorous Security Reviews: Conducted comprehensive security reviews of High-Level Designs (HLDs) across multiple domains, • Quality Assurance: Collaborated with internal teams such as Service Introduction, Cybersecurity, and Technical Design Authority (TDA) to perform quality reviews on Project Artefacts, HLDs, and Low-Level Designs (LLDs). • Proactive Monitoring: Monitored daily progress made by TCS to ensure AWS migrations were on track, adhering to agreed-upon timelines and design criteria. • Effective Representation: Represented the IAG Programme Manager at key technical governance forums such as the Technical Design Authority (TDA), Security Architecture Board (SAB), and UK Data Centre Expansion (UKDCE) review board. • Transparent Progress Reporting: Ensured TCS presented high-quality weekly progress reports during Line of Business (LOB) review meetings, promoting transparency, accountability, and alignment with organizational objectives. • End-to-End Accountability: Maintained accountability for architecture and design throughout the project life cycle, ensuring that the delivered solutions were compliant with their original design specifications. • Accurate Documentation: Regularly updated program tracking documents and tools such as Jira, Confluence, and Excel, providing real-time visibility • Executive Summary Reporting: Delivered concise Executive Summary weekly progress reports to the IAG Programme Manager
• Successful Data Migration Strategy: Spearheaded the development of a data migration strategy, in collaboration with stakeholders, to seamlessly transition D&B's CRM platforms into Google Cloud. This strategy considered the organization's vision, key drivers, and anticipated challenges, ensuring a smooth migration process. • Comprehensive High-Level Designs (HLDs): Constructed high-quality High-Level Designs (HLDs) and options papers specifically tailored for Google Cloud Platform (GCP). These designs provided a detailed roadmap for the migration, taking into account the technical and business requirements. • Leveraged Google Cloud Tools: Effectively utilized a suite of Google Cloud tools, including Data Transfer Service, Dataflow, Dataproc, Datafusion, Dataprep, BigQuery, and Looker Studio, to build a robust and scalable data services ecosystem. • Strategic Reference Architecture Development: Contributed to the ongoing development of the strategic reference architecture, ensuring alignment with the organization's vision and objectives. • MVP to Production Data Reference Architecture: Led the transformation of the Minimum Viable Product (MVP) data reference architecture into a production-ready solution. Defined data patterns, principles, standards, and capabilities • Data Governance Expertise: Provided expert guidance in data modeling, lineage, quality, metadata management, and governance, ensuring that data assets were well-managed • Effective Communication: Ensured that all deliverables and products were effectively communicated to stakeholders through weekly SteerCo (Steering Committee) sessions. • Promotion of Best Practices: Introduced and promoted architecture best practices in both Analytics and Operational System Design. • Technical Debt Reduction: Played a key role in rationalizing and simplifying the current data architecture, reducing technical debt and eliminating data duplication.