Azure Cloud Data Architect

3 weeks ago

South East England, United Kingdom AVENSYS CONSULTING (UK) LTD Full time

Azure Cloud Data Architect

This role defines best practices in the evaluation, selection and design of the architecture of software components and related hardware/infrastructure requirements of the applications and its data, and the development of the application, including evaluation and selection of development methods, support processes, best practices and tools. The solution architect is also responsible for application non-functional aspects for example usability, accessibility, quality, security, performance, availability, scalability, and integrity.

SC clearance is required however SC eligible candidates with strong financial services product expertise may also be considered based on relevant experience.

Job responsibilities

Architecture of solutions

Cert in Cloud Azure (pref)AWS/GCP

DevOps, Deployments, Releases

Data Models, Data Bricks, Data Lakes Visualisation (Power BI, Qlik/Tableau)

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, e.g., 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 analyzing and recommending service quality improvement activities

Provide architectural oversight and support for the data solution and infrastructure environment

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, Data Modelling, 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 modeling 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

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