At a Glance
- Tasks: Lead the development of our Business Data logical model and support strategic initiatives.
- Company: Harvey Nash, a forward-thinking company offering remote work opportunities.
- Benefits: Flexible working hours, competitive pay, and a chance to shape data strategies.
- Why this job: Be at the forefront of data architecture and drive impactful business decisions.
- Qualifications: Experience in data architecture and strong collaboration skills.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Harvey Nash is now inviting candidates to apply for the role of Solution Data Architect, an initial 6-month contract working inside of IR35, fully remote.
This is a critical role that will lead the ongoing development of our Business Data logical model and support key strategic initiatives.
Key Responsibilities
- Lead the ongoing development and evolution of the Business Data logical model.
- Collaborate closely with teams responsible for physical model development.
- Support ongoing design work and delivery of inflight activities using Microsoft information architecture.
- Contribute to ERP implementation projects and data migration activities.
- Ensure data governance and compliance standards are maintained throughout all initiatives.
Core Requirements
- Data Modelling Expertise
- Strong experience in developing and maintaining logical and conceptual data models
- Microsoft Information Architecture: Solid understanding of Microsoft Purview and related data governance tools
- ERP Implementation: Hands-on experience with ERP implementations, preferably Microsoft Dynamics 365 (D365)
- Data Migration: Proven experience in planning and executing complex data migration activities.
Additional Core Data Architect Skills
- Database Technologies: Proficiency in SQL Server, Azure SQL Database, and other enterprise database platforms
- Cloud Architecture: Experience with Azure data services (Azure Data Factory, Azure Synapse, Azure Data Lake)
- Data Governance: Understanding of data quality, data lineage, and metadata management principles.
- ETL/ELT Processes: Experience designing and implementing data integration workflows.
- Business Intelligence: Knowledge of reporting and analytics platforms (Power BI, SSRS, or similar)
- Data Warehousing: Experience with dimensional modelling and data warehouse architecture patterns
- API Integration: Understanding of REST/SOAP APIs and data service architectures.
- Data Security: Knowledge of data privacy regulations (GDPR) and security best practices
Please apply today with your most recent CV for consideration.
Solution Data Architect in Glasgow employer: Harvey Nash
Harvey Nash is an exceptional employer that values innovation and collaboration, offering a fully remote work environment that promotes flexibility and work-life balance. With a strong focus on employee growth, we provide ample opportunities for professional development and career advancement, making it an ideal place for those looking to make a meaningful impact in the field of data architecture.
StudySmarter Expert Advice🤫
We think this is how you could land Solution Data Architect in Glasgow
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Harvey Nash!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Solution Data Architect at Harvey Nash.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Harvey Nash.
✨Apply Directly through Our Website
When you find a suitable opening like Solution Data Architect at Harvey Nash, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Solution Data Architect in Glasgow
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Harvey Nash, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Harvey Nash. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Harvey Nash
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Harvey Nash!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
