At a Glance
- Tasks: Lead data architecture for a major Commerce Modernisation programme and guide delivery teams.
- Company: Join a forward-thinking company driving transformation in the commerce landscape.
- Benefits: Competitive pay, inclusive culture, and opportunities for professional growth.
- Other info: Initial 3-month contract with potential for longer-term involvement.
- Why this job: Make a significant impact on a transformative project while enhancing your skills.
- Qualifications: Expertise in data architecture and experience with complex data projects required.
The predicted salary is between 72000 - 88000 £ per year.
We're looking for an experienced Senior Data Architect to lead the data workstream on a major Commerce Modernisation programme, covering Commerce Engine, PIM and OMS. This is an initial 3 month contract forming part of a wider 2 year transformation programme, with a data analyst available to support delivery.
About the Role
You'll take ownership of the data architecture across a complex, multi-system commerce landscape, working at programme level to define strategy and guide delivery teams.
Responsibilities
- Enterprise Data Modelling — Conceptual & Logical, with guidance to physical data model requirements
- Data Architecture — landscape analysis, data ownership and movement modelling
- Data Migration Design — strategy, in-scope data definition, sequencing and cut-over planning
- Data Quality Assessment — identification of issues and remediation approach
- Data Governance Modelling — ownership, stewardship and guardrails
Qualifications
- Initial 3 month contract
- Part of a 2 year transformation programme
- South of England based (some travel/overnight stays may be required)
Required Skills
- Data architecture expertise and experience in leading complex data projects.
Preferred Skills
- Experience with Commerce Engine, PIM, and OMS systems.
Pay range and compensation package
Competitive pay based on experience.
Equal Opportunity Statement
We are committed to diversity and inclusivity in our hiring practices.
Senior Data Architect employer: Koshape
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your expertise as a Senior Data Architect will directly impact a significant Commerce Modernisation programme. Located in the South of England, this role provides competitive pay and the opportunity to work on complex data projects while fostering your professional growth through hands-on experience and support from a dedicated data analyst. Embrace the chance to be part of a diverse team committed to inclusivity and excellence in delivering transformative solutions.
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We think this is how you could land Senior Data Architect
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We think you need these skills to ace Senior Data Architect
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Koshape, 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 Koshape, 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 Koshape’s attention and show the tangible impact of your work.
How to prepare for a job interview at Koshape
✨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 Koshape.
✨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 Koshape.
✨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 Koshape.
