Required knowledge and experience

• 10-15 years of experience in Cloud Data Warehouse, Data Lake, Hyperscalers specially Microsoft Azure technologies across the Data Lifecycle.
• Have experience in architecting and solutioning Azure based projects.
• Hands on knowledge in ADF, Databricks, PowerBI
• Experience in various Azure services across Data Ingestion, Datamodelling, Data Governance, Data Quality, Reporting and Visualization and Analytics capabilities.
• Experience in setting up Foundational and Advanced Capabilities of Azure Cloud Data Platform
• Relevant technical experience managing, developing and upgrading applications, within application/solution design
• Strong understanding of data modelling techniques in Relational, Document, Graph, and BigData platforms servicing OLTP, OLAP and mixed model architectures
• Excellent documentation skills and ability to complete high quality architecture artefacts in a timely fashion to meet project timelines for governance gates.
• Experience of end-to-end data solution architecture/design methods and patterns for example design in areas such as data sourcing, data warehousing, data lakes, ELT/ELT, streaming, data delivery, data visualization
• Experience in application integration using services-oriented and/or Middleware approaches
• Strong customer service ethos, recognising the importance of customer needs and business value at stake in delivering services, thereby enhancing the perception of the organization
• Have excellent leadership, communication (written and oral) and interpersonal skills
• Have experience in leading projects relating to system integration, data migration, data warehousing experience with cloud-based data platforms; experience driving technical workshops with technical and business clients to derive value added services and implementations
• Hands-on working knowledge of topics such as solutions (for example: data lakes, data meshes, data platforms, data streaming solutions

Architecture of solutions

• Architecting Enterprise Data Platform on Cloud particularly on Azure to support regulatory financial institution
• Designing Functional Architectures for Service Quality
• Designing and maintaining Non-Functional Requirements, eg, Capacity planning, availability, performance, housekeeping, monitoring and foundational capabilities of the Enterprise Data Platform

Designing the application solution delivery and good understanding of Cloud Infrastructure solutions

• Leading technical teams as appropriate in data and analytics delivery implementation and support
• Performing technical assessment and evaluation of Cloud Services and other Cloud SaaS/IaaS/PaaS solutions
• Liaising with 3rd party product providers to understand future enhancements, product roadmaps, new developments and communicate as required to business, user, and IT Stakeholders

Documenting solution architecture

• Cloud Data Platform capabilities, Use Cases, Applications, including integrations
• Collaborate with Cloud Security and Cloud Infrastructure offices
• Maintaining documentation

Other Azure Cloud data Architect activities

• Assist in deploying data solutions and applications.
• Assist in second line support problem determination and resolution of solution issues
• Assist in designing, developing and implementing Enterprise Data Platform enhancements to agreed standards utilising standard processes and procedures.
• Assist in generating the required documentation to deliver change control
• Assist in supporting Data Analytics development and production teams
• Assist in supporting the Data and Analytics team to resolve incidents
• Assist in analysing and recommending service quality improvement activities
• Provide architectural oversight and support for the data solution and infrastructure environment