At a Glance
- Tasks: Lead the evolution of data architecture and ensure alignment with enterprise standards.
- Company: Join a dynamic team in a leading tech environment focused on innovation.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on continuous improvement and innovation.
- Why this job: Make a real impact by shaping data solutions that drive business transformation.
- Qualifications: Strong experience in enterprise data architecture and excellent stakeholder management skills.
The predicted salary is between 72000 - 88000 £ per year.
- Clearance Required: Active SC
- Duration: 6 months
Job Description
- The Client-Side Enterprise Data Enablement Architect is responsible for defining, governing and evolving data architecture capability across a complex enterprise landscape, working within Data Platform Services.
The role provides the link between enterprise strategy, architecture, delivery and operations, ensuring that data solutions align with enterprise standards, support business outcomes and enable effective transformation.
- The role provides client-side leadership across data architecture, solution governance, stakeholder engagement and strategic planning, while supporting the adoption of modern data technologies across cloud, on-premise and as-a-service platforms within Data Platform Services.
Key Responsibilities
- Enterprise Data Architecture
- Define, own and maintain enterprise data architecture standards, principles and patterns.
- Ensure data architecture aligns with organisational architecture policies, governance frameworks and delivery methodologies.
- Support the evolution of enterprise data capabilities, including data products, metadata management, data fabric and data virtualisation approaches.
- Architecture Governance and Assurance
- Review proposed solutions and designs to ensure compliance with agreed architecture standards.
- Provide architecture assurance throughout delivery life cycles.
- Contribute to design authorities and governance forums.
- Support the establishment and operation of effective design governance processes and controls.
- Strategic Planning and Roadmapping
- Develop and maintain strategic roadmaps for enterprise data platforms and data products.
- Assess the impact of business and technology change across the enterprise data landscape.
- Support long-term technology investment planning and capability development.
- Stakeholder Engagement
- Engage with Data Platform Services, enterprise architects, programme teams, project managers, security teams, suppliers, vendors and business stakeholders.
- Represent data architecture within business workshops and architecture forums.
- Influence decision-making and support high-level solution design activities.
- Build strong collaborative relationships across technical and non-technical communities.
- Change Enablement
- Support change programmes through the production and review of architecture artefacts and documentation.
- Assess impacts to applications, data assets and business processes.
- Ensure architectural implications of change are understood and appropriately managed.
- Vendor and Supplier Management
- Support supplier engagement and technical governance activities.
- Provide guidance relating to licensing implications and technology adoption.
- Maintain effective engagement with strategic technology partners and vendors.
- Technical Leadership
- Contribute to the Data Architecture Community of Practice.
- Mentor and support architects, engineers and technical teams.
- Promote best practice, innovation and continuous improvement within the organisation.
- Provide expert advice and guidance on architectural and service management matters.
- Transformation and Continuous Improvement
- Support organisational transformation initiatives and strategic change programmes.
- Identify opportunities to improve data management, architecture practices and delivery approaches
- Contribute to the development of enterprise architecture capabilities and operating models.
- Key Skills and Experience
Essential
- Strong experience in enterprise data architecture within complex organisations.
- Ability to rapidly understand large-scale IT and data estates spanning on-premise, cloud and Saa S environments.
- Experience assessing and managing the impact of change across enterprise application and data landscapes.
- Knowledge of cloud architecture patterns, particularly AWS and Azure.
- Understanding of data management concepts, including data fabric, data virtualisation, metadata management, data integration and governance.
- Proven experience of architecture governance and design assurance processes.
- Strong stakeholder management and influencing skills.
- Experience working across multiple delivery teams, suppliers and business functions.
- Excellent written and verbal communication skills.
Desirable
- Experience operating within regulated or large public-sector environments.
- Knowledge of modern data platform technologies and operating models.
- Experience supporting commercial, procurement or licensing activities.
- Contribution to architecture communities of practice or professional bodies.
- Professional Competencies
- Enterprise data architecture and standards
- Architecture governance and assurance
- Strategic planning and roadmapping
- Stakeholder engagement and influencing
- Change impact assessment
- Vendor and commercial management
- Technical leadership and mentoring
- Continuous improvement and transformation leadership
- Cloud architecture, particularly AWS and Azure
- Enterprise data management and governance
- #J-18808-Ljbffr
Data Architect- SC Cleared in Telford employer: eTeam Workforce Limited
eTeam Workforce Limited is an exceptional employer, offering a dynamic work environment in North Wales that prioritises engineering excellence and compliance within military systems. With a strong focus on employee growth, the company provides ample opportunities for professional development and leadership advancement, fostering a culture of collaboration and innovation. Employees benefit from a supportive atmosphere that values technical integrity and airworthiness, making it a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect- SC Cleared in Telford
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like eTeam Workforce Limited before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like eTeam Workforce Limited.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like eTeam Workforce Limited.
We think you need these skills to ace Data Architect- SC Cleared in Telford
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at eTeam Workforce Limited, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to eTeam Workforce Limited, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab eTeam Workforce Limited’s attention and show the tangible impact of your work.
How to prepare for a job interview at eTeam Workforce Limited
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at eTeam Workforce Limited.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at eTeam Workforce Limited.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at eTeam Workforce Limited.
