At a Glance
- Tasks: Design and implement innovative customer data solutions in a dynamic retail environment.
- Company: Join a leading company focused on cutting-edge data architecture and customer insights.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and industry trends.
- Why this job: Make a real impact on customer experiences through advanced data strategies and technologies.
- Qualifications: Proven experience in data architecture, Azure solutions, and strong communication skills.
The predicted salary is between 195000 - 195000 £ per year.
Salary: £? - ? per year
Qualifications:
- Proven experience designing and/or selecting secure, scalable, performant customer data solutions in a retail environment
- Understanding of data lake or lakehouse solutions and their role in customer data architecture
- Strong knowledge of analytics and reporting best practices for customer insights
- Familiarity with data governance and enterprise security requirements
- Ability to create key design principles and key design decisions
- Excellent communication skills for presenting solution proposals to senior stakeholders
- Experience reviewing and approving designs produced by others, checking for architectural alignment and recommending changes where appropriate
- Experience designing Azure-based customer data solutions, including storage, transformation, metadata management, orchestration, lineage, and logging
- Understanding of machine learning and AI applications for customer personalisation
- Familiarity with capabilities supported by Databricks for customer data processing
- Experience with Agile delivery methodology
- Experience reviewing and mentoring others
Responsibilities:
- Build strong, collaborative relationships with stakeholders across customer-focused initiatives
- Provide thought leadership on customer data architecture, ensuring solutions support consistent, trusted customer data across all channels
- Propose design patterns and solutions that enable customer data management, integration, enrichment, and governance
- Create and maintain design artefacts for customer data solutions to enable engineering teams to build effectively, or solutions to be acquired and integrated
- Review customer data solutions for compliance with design principles and functional and non-functional requirements
- Lead design decisions and best practices for customer data management, identity resolution, and master data management
- Stay abreast of industry trends in customer data technologies and retail data strategies
Technologies:
- AI
- Architect
- Azure
- CRM
- Databricks
- Support
- Machine Learning
- Security
- Cloud
Contract Details: We are seeking an experienced Data Solutions Architect to join our Data Architecture & Design Team on a 6-month contract in London on a hybrid basis. In this role, we work with stakeholders to define future data strategies, deliver measurable outcomes such as improved personalisation and data quality, and ensure our solutions align with business goals. We manage, govern, and extract value from customer data systems while collaborating across architecture, product, analytics, governance, security, and CRM teams. This is an umbrella contract paying £750 per day.
Data Solution Architect - Customer in London employer: Sivara GmbH
As a leading player in the retail sector, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises collaboration and innovation. Our Data Solution Architect role offers not only competitive compensation but also the opportunity to work with cutting-edge technologies like Azure and Databricks, while contributing to impactful customer data strategies. We are committed to employee growth, providing mentorship and professional development opportunities to ensure our team members thrive in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Solution Architect - Customer in London
✨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 Sivara GmbH 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.
✨Check Out Specialist Job Boards
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 Sivara GmbH.
✨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 Sivara GmbH.
We think you need these skills to ace Data Solution Architect - Customer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Sivara GmbH, 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 Sivara GmbH, 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 Sivara GmbH’s attention and show the tangible impact of your work.
How to prepare for a job interview at Sivara GmbH
✨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 Sivara GmbH.
✨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 Sivara GmbH.
✨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 Sivara GmbH.
