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For Companies At a Glance
- Tasks: Lead the data technology strategy and oversee its implementation.
- Company: Join a leading financial services brand with a focus on innovation.
- Benefits: Enjoy a hybrid working model and a competitive salary package of £150,000+.
- Why this job: Shape the future of data architecture while influencing key stakeholders in a dynamic environment.
- Qualifications: Experience in data warehousing, analytics, and enterprise-level IT strategies is essential.
- Other info: Ideal for those passionate about digital transformation and cloud technologies.
The predicted salary is between 90000 - 210000 £ per year.
This position provides strategic technology leadership, focusing on the development, maintenance, communication, and governance of the organisation's technology strategy, architecture, and roadmaps. The role emphasises balancing business objectives, industry trends, innovation, and cost efficiency, while influencing executive stakeholders and supporting decisions that shape the organization's technological direction.
Key Responsibilities
- Lead the technology strategy for data, aligning it with the broader corporate business, data, and digital strategies.
- Oversee the development, communication, and implementation of the data strategy.
- Collaborate with Data and Analytics teams to integrate operational capabilities and drive thought leadership, with a focus on data.
- Provide architectural guidance for both business-led and technology-driven transformation initiatives.
Technology Landscape
The organisation employs a cloud-first strategy, leveraging key SaaS applications and Azure-hosted data and digital capabilities. Its data platform is built on a Lakehouse architecture using Azure Data Lake and Microsoft-based data services. This platform supports reporting, analytics, and insights and is evolving to deliver advanced business intelligence.
Experience and Skills
- Data Warehousing and Data Lakes (e.g., Azure Data Lake)
- Reporting and analytics tools (e.g., Power BI)
- Analytics, Data Mining, and Data Science
- Data integration, migration, and ETL processes
- Master and reference data management
- Data governance and quality management
- Data modeling and lineage tracking
- Data resiliency and recovery
- Digital platforms (e.g., portals, user experience, content management)
- Integration services
- Identity management and end-user computing
- Broad understanding of IT systems and architectures.
- Demonstrated experience in developing and maintaining enterprise-level IT strategies and architectures, especially in digital, data, and cloud domains.
- Familiarity with data management best practices (e.g., DAMA).
- Proven experience in business transformation, data migration, and roadmap development.
Desirable Attributes
- Knowledge of financial services and regulatory environments.
- Understanding of business strategy, financial analysis, marketing, and operational processes.
- Strong interpersonal and influencing skills for engaging stakeholders across all levels.
- Ability to simplify complex challenges and design actionable solutions.
- Experience with IT sourcing and supplier management.
- Relevant certifications in Enterprise Architecture frameworks, ITIL, or Agile practices.
Enterprise Data Architect in Southampton employer: La Fosse
Contact Detail:
La Fosse Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Architect in Southampton
✨Tip Number 1
Network with professionals in the financial services sector, especially those who have experience in data architecture. Attend industry events or webinars to connect with potential colleagues and learn about the latest trends in data management.
✨Tip Number 2
Familiarise yourself with Azure Data Lake and other Microsoft-based data services. Consider taking online courses or certifications that focus on these technologies to demonstrate your expertise and commitment to the role.
✨Tip Number 3
Prepare to discuss your experience with data governance and quality management during interviews. Be ready to share specific examples of how you've implemented best practices in previous roles, as this will showcase your ability to lead the technology strategy effectively.
✨Tip Number 4
Research the company’s current data strategy and any recent projects they’ve undertaken. This knowledge will not only help you tailor your discussions but also demonstrate your genuine interest in contributing to their technological direction.
We think you need these skills to ace Enterprise Data Architect in Southampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data architecture, cloud technologies, and enterprise-level IT strategies. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role of Enterprise Data Architect. Discuss your experience with Azure Data Lake and how it aligns with the company's cloud-first strategy.
Showcase Relevant Projects: Include specific examples of past projects where you led technology strategy or implemented data governance frameworks. This will help illustrate your capabilities and achievements in similar roles.
Highlight Soft Skills: Emphasise your interpersonal and influencing skills in your application. Provide examples of how you've engaged stakeholders and simplified complex challenges in previous positions.
How to prepare for a job interview at La Fosse
✨Understand the Technology Landscape
Familiarise yourself with the organisation's cloud-first strategy and the specific technologies they use, such as Azure Data Lake and Power BI. Being able to discuss how your experience aligns with their technology stack will demonstrate your suitability for the role.
✨Showcase Your Strategic Thinking
Prepare examples of how you've previously developed and implemented data strategies that align with business objectives. Highlight your ability to balance innovation with cost efficiency, as this is crucial for influencing executive stakeholders.
✨Emphasise Collaboration Skills
Since the role involves working closely with Data and Analytics teams, be ready to discuss your experience in collaborative projects. Share specific instances where you drove thought leadership and integrated operational capabilities effectively.
✨Prepare for Technical Questions
Expect questions about data governance, data modelling, and ETL processes. Brush up on best practices in data management and be prepared to explain complex concepts in a simplified manner, showcasing your ability to communicate effectively with non-technical stakeholders.
