Data Architect
Posted Today by Whitehall Resources
Negotiable
Inside
Onsite
Telford, England, United Kingdom
Summary: The Data Architect role at Whitehall Resources involves working on-site in Shropshire for a key client, focusing on developing and delivering data ingestion and risk management within the SAS Platform. The position requires active SC clearance or eligibility for it and is classified as inside IR35. The role is part of a new scrum team and emphasizes effective communication between technical and non-technical stakeholders. Key responsibilities include designing data models, supporting data governance, and ensuring compliance with data policies.
Key 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.
- Communicate effectively with technical and non-technical stakeholders.
- Support and host discussions within a multidisciplinary team.
- Undertake data profiling and source system analysis.
- Ensure compliance with data governance requirements.
- Produce, maintain, and update relevant data models for the organization’s specific needs.
- Develop data standards and analyze breaches.
- Work with metadata repositories for data and systems integration impact analysis.
- Initiate and monitor actions to resolve problems and determine preventative measures.
- Design data architecture aligned with enterprise-wide standards and principles.
Key Skills:
- Active SC clearance or eligibility for SC clearance.
- Experience in data architecture and data modeling.
- Strong communication skills with technical and non-technical stakeholders.
- Ability to support multidisciplinary team discussions.
- Understanding of data governance and compliance.
- Experience in data profiling and source system analysis.
- Knowledge of metadata management and data standards.
- Problem-solving skills and strategic thinking.
Salary (Rate): undetermined
City: Telford
Country: United Kingdom
Working Arrangements: on-site
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Data Architect
Whitehall Resources require a Data Architect to work on a 6 month with a key client.
*This role will involve on site work in Shropshire 2 days per week.
*Inside IR35.
*Active SC clearance preferred, alternatively candidates will be required to be eligible for SC clearance.
Data Architect
This role will form part of a new scrum team within the Platfrom to develop and deliver the Ingestion and Risking within the SAS Platform including IDP.
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 teams
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
- Create basic visuals and presentations
Data analysis and synthesis
Level: working (Working is the second of 4 ascending skill levels)
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 (Working is the second of 4 ascending skill levels)
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 (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 (Working is the second of 4 ascending skill levels)
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 (Working is the second of 4 ascending skill levels)
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 (Working is the second of 4 ascending skill levels)
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 (Working is the second of 4 ascending skill levels)
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 (Awareness is the first of 4 ascending skill levels)
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 (Working is the second of 4 ascending skill levels)
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