Data Architect

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