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For Companies At a Glance
- Tasks: Design and implement data architectures for Dynamics 365 projects.
- Company: Join a leading enterprise programme focused on innovative data solutions.
- Benefits: Enjoy flexible remote work after an initial onsite period and competitive pay.
- Why this job: Be part of a dynamic team shaping the future of data integration and analytics.
- Qualifications: Experience with Microsoft Fabric, D365 CE, and strong communication skills required.
- Other info: Opportunity to work with cutting-edge tools like Power BI and Azure Data Factory.
The predicted salary is between 54000 - 84000 £ per year.
Role Details
Start: ASAP
Duration: 6-12 months
Location: 100% onsite for 8 weeks, remote after
Pay: negotiable, INSIDE IR35
Role Overview
We are seeking a seasoned Data Architect to join an enterprise programme delivering complex data solutions in support of Dynamics 365 Customer Engagement (CE) projects. This is an exciting opportunity to design and implement robust, scalable, and insight-driven data architectures using the Microsoft Fabric ecosystem.
Responsibilities
- Architect and deliver data integration solutions between D365 CE and Microsoft Fabric components.
- Translate business and CRM requirements into scalable data models and pipelines.
- Develop patterns for real-time and batch ingestion from Dataverse into the Fabric ecosystem.
- Design and enforce data governance, quality, and security aligned with enterprise standards.
- Enable analytics and reporting via clean, well-structured datasets optimised for Power BI.
- Leverage Fabric tools—including OneLake, Synapse, Event Stream, and Data Activator—to support CE-related data flows.
Required Skills & Experience
- Proven track record delivering projects using Microsoft Fabric and Dynamics 365 CE / Power Platform.
- Deep understanding of D365 CE data architecture (Dataverse, Common Data Model, API integrations).
- Proficient with Azure Data Factory, Synapse Pipelines, Lakehouse architecture, and Power BI.
- Strong knowledge of CRM business domains: Sales, Marketing, Customer Service.
- Familiarity with CI/CD for data platforms, DevOps practices, and environment management.
- Excellent communication skills, with the ability to work across CRM, data engineering, and business teams.
Desirable
- Experience with Microsoft Purview or other data governance tools in regulated industries.
- Understanding of customer insights, segmentation, and personalisation driven by CE data.
- Certifications in Microsoft Azure, Data Engineering, or Dynamics 365.
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D365 Data Architect (fabric) employer: Stott and May
Contact Detail:
Stott and May Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land D365 Data Architect (fabric)
✨Tip Number 1
Network with professionals who are already working in Dynamics 365 and Microsoft Fabric. Attend relevant meetups or webinars to connect with industry experts and gain insights into the latest trends and best practices.
✨Tip Number 2
Familiarise yourself with the specific tools mentioned in the job description, such as Azure Data Factory and Power BI. Consider creating a small project or case study that showcases your ability to use these tools effectively.
✨Tip Number 3
Prepare to discuss your previous experiences with data architecture and integration solutions. Be ready to provide examples of how you've successfully translated business requirements into scalable data models.
✨Tip Number 4
Stay updated on the latest developments in data governance and security practices, especially in relation to regulated industries. This knowledge will be crucial in demonstrating your understanding of enterprise standards during interviews.
We think you need these skills to ace D365 Data Architect (fabric)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Fabric and Dynamics 365 CE. Focus on specific projects where you've delivered data integration solutions, and emphasise your understanding of data architecture and governance.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your skills align with the responsibilities outlined in the job description. Mention your familiarity with Azure Data Factory and Power BI, and provide examples of how you've successfully implemented data solutions in the past.
Showcase Relevant Projects: If you have a portfolio or case studies of previous work related to D365 CE and Microsoft Fabric, include them in your application. This can demonstrate your practical experience and problem-solving abilities in real-world scenarios.
Highlight Soft Skills: Don't forget to mention your communication skills and ability to collaborate across teams. The role requires working with CRM, data engineering, and business teams, so showcasing your teamwork and interpersonal skills can set you apart from other candidates.
How to prepare for a job interview at Stott and May
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Microsoft Fabric and Dynamics 365 CE in detail. Highlight specific projects where you've successfully implemented data integration solutions, and be ready to explain the architecture and tools you used.
✨Demonstrate Problem-Solving Skills
Expect scenario-based questions that assess your ability to translate business requirements into scalable data models. Prepare examples of challenges you've faced in previous roles and how you overcame them, particularly in relation to data governance and quality.
✨Communicate Effectively
Since the role requires collaboration across various teams, practice articulating complex technical concepts in a way that non-technical stakeholders can understand. This will showcase your communication skills and ability to work cross-functionally.
✨Familiarise Yourself with the Company’s Projects
Research the company’s current projects and initiatives related to Dynamics 365 and Microsoft Fabric. Being knowledgeable about their work will not only impress the interviewers but also help you tailor your responses to align with their goals.
