Job Application

Job Title:

Data Architect

Location:

Leeds/London/Remote

Reports To:

Enterprise Data Architect

Direct Reports:

None

Travel Required:

Minimal

Working Pattern:

full-time, 35 hours per

Note: All roles are considered suitable for a flexible working arrangement unless expressly identified as otherwise

Contract Type:

Day Rate Contract Outside IR35

Role Level:

Role Purpose:

The Data Architect will define solutions and processes for managing enterprise-wide data throughout the data life cycle from capture to processing to usage across all layers of the architecture.

The Data Architect will work with business users, IT. delivery teams, and Project Mangers to deliver solution architectures that aligns with the Enterprise data strategy and vision. Must develop a strong understanding of each business unit to include their business drivers for success, process and approaches to business models.

The role will focus on defining, developing and promoting the Solution Architectures that aids the organisation in building out the Enterprise Data vision.

Key accountabilities

Define solution architectures for Data Warehouse, Master Data/Reference Data and integration for data

Contribute to the creation of an Enterprise Reference Data Architecture for the business

Participation in the definition of standard enterprise data management and enterprise data architecture processes and deliverables

Collaboration with the business, its applications, solutions, and with other IT architects to understand the implications of respective architectures on data architecture and to maximize the value of information across the organisation

The creation and implementation of processes to collect and maintain inventory of Data assets across the enterprise

Assist in maintaining the assessment and inventory of the existing enterprise-level data environment

Assist in defining MDM solution architecture and set technical direction, define component architecture, review detailed designs for accuracy and overall compliance to defined architecture

Analyse and define detailed MDM processes, tasks, data flows, and dependencies

Define the solution architecture and design for data management to ensure effective delivery of information that meets current and future requirements

Works with business process experts to help identify functional requirements

Analyses impact of future topology changes in the environment

Facilitate system feasibility studies, proof of concepts, pilot project, and testing while working with stakeholders to define business and systems requirements in a modern data architecture

Develop, implement, and maintain all data management policies and procedures, including those for enterprise data warehouse architecture, standards, monitoring, and service provision

Verify design of overall Infrastructure and support the build of the environments

EA Compliance

Oversee the documentation of all architecture design and analysis work

Consult with infrastructure, project and product teams to ensure consistency with the enterprise architecture, as well as to identify when it is necessary to modify the enterprise architecture

Experience and behavioural characteristics

Expert in Dimension Modelling

Good knowledge of Third Normal Form Datamodelling

Consistently demonstrate strong experience in Conceptual, Logical, and Physical Database architectures, design patterns, best practices, and programming techniques around relational modelling, dimensional modelling and data integration

Experience in driving Meta data architecture and Master Data Management Solutions.

Experience in performing analysis and design for Data Management and Data Driven projects

Awareness of MDM trends, MDM concepts and other tools in the market

Strong understanding of activities within primary discipline such as Master Data management (MDM), Metadata Management and Data Governance (DG)

Experience of Cloud Data technologies, solutions and future Cloud Data Strategies

Able to review designs independently, lead code reviews and ensure quality throughout the life of each project

Experience of enterprise systems data requirements and challenges would be beneficial, eg SAP, Salesforce

Excellent communication skills

Excellent presentation skills

Intervenes if warning signs of problems occur within own area of responsibility

Forward thinking. Proactive rather than Reactive

Desirable Skills

Hands on experience of Microsoft Azure technology stack, such as Azure Data Factory, Synapse Data Warehouse, Power BI, ADLS, Data Bricks, SSRS, Microsoft Fabric, etc.

And/Or

Hands on experience of SAP Data and BI technology stack, such as HANA database, SAP IQ database, Business Objects Data Services, SAP Data Intelligence, Business Objects, SAP Analytics Cloud