Position: Azure Data Architect
Location: Remote
Type: 6 Month Contract (Outside IR35)
Rate: £550 to £600 Per Day
Role:
This is a fantastic opportunity to work for a leading Consultancy, my client is currently looking for an experienced Senior Data Architect to act as client architecture lead for various programmes of work.
Data Architect is a multi-disciplinary role, requiring collaboration with a wide range of stakeholders, from developers to C-level executives. You will be responsible for working with customers to influence and shape the end-to-end data management and analytics workstreams, within fast paced and complex programmes, engaging in a wide variety of data management and analytics activities.
Key Responsibilities:
Support and influence Data Strategy, and Data Governance Policies and Principles
Promote Data Management standards and best practices
Support business and data requirements gathering
Input and guidance to business for Data Catalog, Master Data and Metadata Management
Lead the data solution designs and execution of data models for these solutions such as Data Warehouse, Data Lake, and Data Lakehouse
Work with Data Engineers and Analysts to architect scalable and secure solutions across Data Integration, Data Orchestration, Data Processing, Data Storage, and Data Visualisation
Work with cross-functional teams to support delivery of the data solutions
Engage with customer and end-users to understand solution impact and develop technology operation plans
Work with customers or partners to promote the company brand and develop healthy relationships
Coach and mentor upcoming Data Architects
Requirements:
Demonstrable experience in Data Architecture in the last 3 years
Experience in architecting data solutions which meet high data security and compliance requirements
Experience working with various open-source, on-prem, COTS, and cloud (AWS, Azure, GCP) tools and technologies
Advanced Data Modelling skills and experience in relational, dimensional and NoSQL databases
Demonstrable experience in advanced SQL/TSQL
Knowledge and experience working with a variety of frameworks and platforms for data management and analytics
Data Engineering experience, and familiarity with Git, Python and R
Data Analysis, Data Profiling and Data Visualisation experience
Knowledge and desired experience of Big Data
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