Data Architect

CBSbutler Ltd.; Telford; On-site; GBP 100,000 - 125,000; Full time

Job summary

A well-established company in Telford is seeking a skilled Data Architect responsible for designing and managing data solutions. The ideal candidate will engage directly with stakeholders, understand data governance, and ensure compliance with data policies. This role requires problem-solving abilities and a solid understanding of data architecture principles in order to meet business needs effectively.

Qualifications

• Ability to communicate effectively with both technical and non-technical stakeholders.
• Experience in data profiling and source system analysis.
• Understanding of data governance and compliance requirements.

Responsibilities

• Design and support data architecture according to compliance.
• Maintain data models based on organizational needs.
• Manage and analyze data standards and their implications.

Skills

Communication with stakeholders

Data profiling and analysis

Data governance knowledge

Data modeling principles

Problem-solving skills

Strategic thinking

Job description

Overview

The Preventative Risking (PR) team within RIS is responsible for managing the risking and compliance referral processes for Self-Assessment (SA) registrations.

Data architect responsibilities

• design, support and provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy
• provide input into data dictionaries
• define and maintain the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture
• Communicating between the technical and non-technical Level: working
• Working is the second of 4 ascending skill levels

You can

• communicate effectively with technical and non-technical stakeholders
• support and host discussions within a multidisciplinary team, with potentially difficult dynamics
• be an advocate for the team externally, and can manage differing perspectives

Communicating data

• Level: awareness
• Awareness is the first of 4 ascending skill levels
• You can: show an awareness that data needs to be aligned to the needs of the end user
• You can: create basic visuals and presentations

Data analysis and synthesis

• Level: working
• You can: undertake data profiling and source system analysis
• You can: present clear insights to colleagues to support the end use of the data

Data governance (data architect)

• Level: working
• You can: understand what data governance is required
• You can: take responsibility for the assurance of data solutions and make recommendations to ensure compliance

Data innovation

• Level: awareness
• Awareness is the first of 4 ascending skill levels
• You can: show an awareness of opportunities for innovation with new tools and uses of data

Data modelling

• Level: working
• You can: explain the concepts and principles of data modelling
• You can: produce, maintain and update relevant data models for an organisation's specific needs
• You can: reverse-engineer data models from a live system

Data standards (data architect)

• Level: working
• You can: develop data standards for a specific component
• You can: analyse where data standards have been applied or breached, and undertake an impact analysis of that breach

Metadata management

• Level: working
• You can: work with metadata repositories to complete complex tasks such as data and systems integration impact analysis
• You can: maintain a repository to ensure information remains accurate and up to date

Problem management

• Level: working
• You can: initiate and monitor actions to investigate patterns and trends to resolve problems
• You can: effectively consult specialists where required
• You can: determine the appropriate remedy and assist with its implementation
• You can: determine preventative measures

Strategic thinking

• Level: awareness
• You can: explain the strategic context of your work and why it is important
• You can: support strategic planning in an administrative capacity

Turning business problems into data design

• Level: working
• You can: design data architecture by dealing with specific business problems and aligning it to enterprise-wide standards and principles
• You can: work within the context of well understood architecture, and identify appropriate patterns