Data Architect

CBSbutler Holdings Limited trading as CBSbutler; Shrewsbury; Hybrid; GBP 100,000 - 125,000; Part time

Job summary

A leading tech consultancy is seeking a Data Architect to design and manage data models that align with strategic data needs. This role involves hybrid working and requires strong communication skills, as well as expertise in data governance, analysis, and modelling. The position offers a competitive pay rate of £550 to £572 per day.

Qualifications

• Experience in data architecture and compliance.
• Ability to design and manage data models.
• Ability to communicate with technical and non-technical stakeholders.

Responsibilities

• Design data models to fulfill organizational data needs.
• Support data architecture upgrades and maintenance.
• Ensure compliance with data governance and strategy.

Skills

Effective communication

Data modelling

Data analysis

Data governance

Problem management

Job description

Overview

Data Architect

+ £550 to £572 per day

+ 6 month initial contract

+ Inside IR35

+ Hybrid working at Telford

Project Overview

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

Responsibilities

Data architect responsibilities:

• A data architect designs and builds data models to fulfil the strategic data needs of the organisation, as defined by chief data architects.
• At this role level, you will:

• 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

Skills and Competencies

• 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
• create basic visuals and presentations

• Data analysis and synthesis

• Level: working

• You can:
• undertake data profiling and source system analysis
• 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
• take responsibility for the assurance of data solutions and make recommendations to ensure compliance

• Data innovation

• Level: awareness

• 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
• produce, maintain and update relevant data models for an organisation's specific needs
• reverse-engineer data models from a live system

• Data standards (data architect)

• Level: working

• You can:
• develop data standards for a specific component
• 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
• 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
• effectively consult specialists where required
• determine the appropriate remedy and assist with its implementation
• determine preventative measures

• Strategic thinking

• Level: awareness

• You can:
• explain the strategic context of your work and why it is important
• 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
• work within the context of well understood architecture, and identify appropriate patterns