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