Data Architect

Nigel Wright Group

Sunderland, UK

3 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

£75,000.0 - £82,000.0

Working hours

Regular working hours

Job source

find.jobs

Tech stack

Amazon Web Services Amazon S3 Architectural Patterns Microsoft Azure Data Architecture Data Cleansing Information Engineering Data Governance Data Infrastructure Extract Transform Load (ETL) Data Security Data Systems

+4 more

Data Vault Modeling Cloud Services Standard Sql Data Analytics

Job description

The CompanyLocation: Northeast or LondonType: Permanent HybridNigel Wright Tech are delighted to be partnering with a large B2C service organisation in their search for a Data Architect. You will be responsible for defining and maintaining the overall data architecture strategy that enables the company’s BI and self-serve analytics capabilities. The role will establish the technical vision, standards and frameworks that enable scalable, efficient and secure data solutions across the organisation. The RoleKey responsibilities:

Conduct comprehensive assessment of existing architectures across existing data infrastructure
Define and maintain the enterprise data architecture vision and roadmap, ensuring alignment with business objectives and the BI product strategy
Establish architectural patterns and frameworks (such as Medallion architecture, data vault or dimensional modelling) for consistent implementation across data solutions
Define and document standard business entities, metrics and KPIs to ensure consistency across reporting
Work with Group BI and Data Director to define strategy and frameworks
Facilitate architecture discussions and workshops with technical and non-technical stakeholders

The RequirementsThis is an exciting role, whereby you will have strategic input and the opportunity to work on major greenfield projects across the organisations data estate. Key requirements include

Requirements

Extensive experience in data architecture, with proven track record of designing and implementing enterprise-scale data solutions
Deep expertise in data modelling techniques with strong SQL proficiency
Good knowledge of cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue, knowledge of Azure or GCP beneficial) and modern data engineering patterns including ETL/ELT
Experience with data governance frameworks, data quality tools and ensuring compliance with security and regulatory requirements
Strong business acumen with ability to translate business requirements into technical architecture and understand how data enables business outcomes