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For Companies At a Glance
- Tasks: Lead data architecture projects and translate business needs into technical solutions.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Hybrid work, private medical insurance, profit sharing, and professional development opportunities.
- Why this job: Make an impact in data science and analytics while working with cutting-edge technologies.
- Qualifications: Experience in data architecture, ETL processes, and business intelligence tools required.
- Other info: Dynamic team environment with strong focus on career growth and well-being.
The predicted salary is between 36000 - 60000 £ per year.
As a Data Solution Architect you will be expected to take an architecture lead role on our client's solution delivery engagements, with high levels of customer engagement. This will involve ongoing analysis of business requirements throughout the lifetime of the service. Candidates will have a strong understanding of data architecture and analytics design and project delivery life-cycles with an emphasis on working in client facing environments.
Responsibilities
- Translating business requirements to technical solutions and the production of specifications
- Designing and implementing business intelligence & modern data analytics platform technical solutions
- Data architecture design and implementation
- Data modelling
- ETL, data integration and data migration design and implementation
- Master data management system and process design and implementation
- Data quality system and process design and implementation
- Major focus on data science, data visualisation, AI, ML
- Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD
- Working within a project management/agile delivery methodology
- Managing team members on a day to day basis
- Managing technical delivery of solution
- Strong stakeholder management and communication skills
Qualifications
- Hands on experience with data solution architecture, design and rollout
- Hands on experience with business intelligence tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure
- Experience with multi-dimensional design, star schemas, facts and dimensions
- Experience and demonstrated competencies in ETL development techniques
- Experience in data warehouse performance optimization
- Experience on projects across a variety of industry sectors is an advantage
- Comprehensive understanding of data management best practices including data profiling, sourcing, cleansing routines, data quality functions involving standardization, transformation, rationalization, linking and matching
- Good knowledge of Databricks, Snowflake, Azure / AWS / Oracle cloud, R, Python
Additional Information
At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability. One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology. We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.
Data Architect employer: Version 1
Contact Detail:
Version 1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in a data architect role. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data architecture and analytics. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture scenarios. Think about how you would tackle real-world problems and be ready to discuss your thought process. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with data architecture, analytics design, and any relevant tools like Databricks or Snowflake. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data solutions and how your past experiences make you a great fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Include details about your role, the technologies you used, and the impact of your work. This gives us a clear picture of your hands-on experience and problem-solving skills.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Version 1
✨Know Your Data Inside Out
Make sure you have a solid grasp of data architecture concepts, especially those mentioned in the job description. Brush up on your knowledge of ETL processes, data modelling, and cloud platforms like Azure or AWS. Being able to discuss these topics confidently will show that you're not just familiar with the terms but can apply them practically.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've translated business requirements into technical solutions. Think about challenges you've faced in previous roles and how you overcame them. This will demonstrate your analytical skills and ability to think critically under pressure.
✨Engage with Stakeholders
Since this role involves high levels of customer engagement, practice how you would communicate complex data concepts to non-technical stakeholders. Be ready to explain your approach to stakeholder management and how you ensure everyone is on the same page throughout a project.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions during your interview. Prepare for questions about data quality systems, performance optimisation, and your experience with business intelligence tools. Having hands-on examples ready will help you stand out as a knowledgeable candidate.