At a Glance
- Tasks: Lead the design and implementation of a cutting-edge data architecture for a global transformation project.
- Company: Join a forward-thinking company transitioning to a Microsoft-based ecosystem.
- Benefits: Enjoy remote work flexibility with potential hybrid options in Central London.
- Why this job: Be at the forefront of data innovation, enhancing accuracy and accessibility across key business systems.
- Qualifications: Proven experience as a Data Architect with expertise in data integration and Microsoft Dataverse.
- Other info: This is a 6-month contract role offering competitive daily rates.
The predicted salary is between 110000 - 130000 £ per year.
Job Title: Data Architect
Contract: 6 months
Rate: £550 – £650 per day Outside IR35 (depending on experience)
Location: Remote, but preference for candidates who can do hybrid (2 days per week onsite in Central London).
About the Role
We are seeking an experienced Data Architect to play a key role in a large-scale global transformation project. The company is moving to a Microsoft-based suite, including Microsoft Dataverse, and requires a strong technical leader to design and implement its future-state data architecture.
This role involves integrating 6-7 key business systems – including marketing, sales, ERP, websites, and user management platforms – into a unified data model. The Data Architect will collaborate with stakeholders across the organisation to enhance data accuracy, consistency, and accessibility while ensuring scalability and compliance.
Key Responsibilities
- Develop and implement a high-level data architecture aligned with the organisation’s global transformation strategy.
- Integrate and model data from multiple systems (marketing, sales, ERP, website, and user management) into a single, optimised structure.
- Work closely with cross-functional teams (marketing, sales, finance, IT) to ensure data accuracy, consistency, and accessibility.
- Drive the transition to a Microsoft-based ecosystem, leveraging Microsoft Dataverse and other relevant technologies.
- Define and implement best practices for data modeling, warehousing, and future scalability.
- Ensure data governance, security, and compliance across all integrated systems.
Essential Skills & Experience
- Proven experience as a Data Architect or in a similar high-level data modeling role.
- Expertise in data integration and transformation, particularly with marketing, sales, ERP, and web data.
- Strong understanding of Microsoft Dataverse and cloud-based data architectures.
- Experience working with CRM and ERP systems in a large-scale business transformation.
- Ability to design and implement future-state data models for enhanced customer experience.
- Strong analytical skills with a strategic focus on data-driven decision-making.
Data Architect employer: The Engage Partnership Recruitment
Contact Detail:
The Engage Partnership Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Make sure to showcase your experience with Microsoft Dataverse and cloud-based data architectures in your conversations. Highlight specific projects where you've successfully integrated multiple systems, as this will resonate well with the hiring team.
✨Tip Number 2
Prepare to discuss your approach to data governance and compliance. The role emphasizes these aspects, so having concrete examples of how you've implemented best practices in previous roles will set you apart.
✨Tip Number 3
Familiarize yourself with the company's current data landscape and think about how you would enhance data accuracy and accessibility. Being able to articulate a vision for their future-state data architecture will demonstrate your strategic thinking.
✨Tip Number 4
Network with professionals in the field and consider reaching out to current or former employees of the company. Gaining insights into their culture and expectations can give you an edge during discussions.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Data Architect position. Understand the key responsibilities and essential skills required, as this will help you tailor your application to highlight relevant experience.
Highlight Relevant Experience: In your CV and cover letter, emphasize your proven experience as a Data Architect or in similar roles. Be specific about your expertise in data integration, transformation, and your familiarity with Microsoft Dataverse and cloud-based architectures.
Showcase Technical Skills: Make sure to detail your technical skills related to data modeling, warehousing, and governance. Provide examples of how you've successfully implemented data architectures in previous roles, especially in large-scale business transformations.
Tailor Your Application: Customize your cover letter to reflect your understanding of the company's global transformation strategy. Mention how your background aligns with their goals and how you can contribute to enhancing data accuracy, consistency, and accessibility.
How to prepare for a job interview at The Engage Partnership Recruitment
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data integration and transformation, especially in relation to marketing, sales, and ERP systems. Highlight specific projects where you successfully designed and implemented data architectures.
✨Demonstrate Your Understanding of Microsoft Dataverse
Since the role involves transitioning to a Microsoft-based ecosystem, make sure to articulate your knowledge of Microsoft Dataverse. Discuss how you've leveraged it in past projects and how it can benefit the company's data architecture.
✨Prepare for Cross-Functional Collaboration Questions
Expect questions about how you work with different teams like marketing, sales, and IT. Share examples of how you've ensured data accuracy and accessibility while collaborating with various stakeholders.
✨Emphasize Data Governance and Compliance
Given the importance of data governance in this role, be ready to discuss your approach to ensuring data security and compliance. Provide examples of best practices you've implemented in previous roles.