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For Companies At a Glance
- Tasks: Design and implement data solutions while collaborating with a skilled team.
- Company: Join a progressive organisation in Warwickshire focused on a data-driven future.
- Benefits: Enjoy hybrid working, 5 weeks' leave, flexi-time, and private medical insurance.
- Why this job: Be part of impactful projects that solve complex business problems in a collaborative environment.
- Qualifications: Strong SQL, Python, and Azure Data Factory skills required; project management experience is a plus.
- Other info: Full training provided and long service rewards after 1 year.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Your new companyAn exciting opportunity has arisen for an experienced Data Solution Architect to join our National Data and Analytics (NDA) Platform & Engineering Team for a progressive organisation based in Warwickshire. Here they're building a smarter, data-driven future, and you could be a vital part of it. Your new roleAs a Data Solution Architect, you'll work in a highly skilled, collaborative environment with access to end-to-end business data. You'll:
- Lead the design and implementation of data warehousing solutions
- Develop robust data models, ETL pipelines, and data integration processes
- Take end-to-end ownership of demand delivery
- Provide technical mentorship and support (2nd/3rd line)
- Collaborate with business partners, data scientists, and report developers to deliver impactful, data-driven solutions
What you'll need to succeedWe're looking for someone with strong technical expertise and a passion for solving complex business problems. You'll bring:
- Strong experience with SQL, SQL Server DB, Python, and PySpark
- Proficiency in Azure Data Factory, Databricks is a must, and Cloudsmith
- Background in data warehousing and data engineering
- Solid project management capabilities
- Outstanding communication skills, translating technical concepts into clear business value
- A collaborative, solution-oriented mindset with a sharp eye for detail
What you'll get in return
- Hybrid working
- 5 weeks' annual leave plus Bank Holidays
- In-office flexi-time and full training provided
- Pension scheme and company sick pay
- Private medical insurance after 4 years
- Enhanced maternity, paternity and adoption pay after 1 year
- Long service rewards
What you need to do nowIf you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Data Solution Architect employer: Hays Specialist Recruitment Limited
Contact Detail:
Hays Specialist Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solution Architect
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Azure Data Factory and Databricks. Consider building a small project or contributing to an open-source project that uses these tools to demonstrate your hands-on experience.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with SQL Server and Python. Attend relevant meetups or webinars to connect with potential colleagues and learn about industry trends that could give you an edge.
✨Tip Number 3
Prepare to discuss your previous projects in detail during interviews. Be ready to explain how you approached complex problems, the solutions you implemented, and the impact they had on the business. This will showcase your problem-solving skills and technical expertise.
✨Tip Number 4
Research the company’s current data initiatives and challenges. Tailor your discussions to show how your skills can directly address their needs, demonstrating that you’re not just a fit for the role but also genuinely interested in contributing to their goals.
We think you need these skills to ace Data Solution Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and Azure Data Factory. Emphasise your data warehousing and engineering background, as well as any project management skills that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for solving complex business problems. Mention specific examples of how you've successfully implemented data solutions in previous roles, and how you can contribute to the company's goals.
Showcase Technical Skills: In your application, clearly outline your technical expertise with SQL Server DB, PySpark, and Databricks. Consider including a brief section on relevant projects or achievements that demonstrate your capabilities in these areas.
Highlight Collaboration Experience: Since the role involves working closely with business partners and data scientists, include examples of past collaborative projects. Describe how you effectively communicated technical concepts to non-technical stakeholders to deliver impactful solutions.
How to prepare for a job interview at Hays Specialist Recruitment Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and Azure Data Factory in detail. Bring examples of past projects where you successfully implemented data warehousing solutions or developed ETL pipelines.
✨Demonstrate Problem-Solving Abilities
Think of specific business problems you've solved using data solutions. Be ready to explain your thought process and the impact your solutions had on the organisation.
✨Communicate Clearly
Practice translating complex technical concepts into simple terms. This will help you connect with non-technical stakeholders during the interview, showcasing your outstanding communication skills.
✨Emphasise Collaboration
Highlight your experience working in collaborative environments. Share examples of how you've partnered with data scientists and business partners to deliver impactful solutions, demonstrating your solution-oriented mindset.