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For Companies At a Glance
- Tasks: Lead architecture for client solutions, focusing on data analytics and business intelligence.
- Company: Join Version 1, a trusted tech partner with over 28 years of experience and multiple awards.
- Benefits: Enjoy hybrid work options, private medical insurance, and a unique Profit Share scheme.
- Why this job: Be part of a fast-growing consultancy that values innovation and employee development.
- Qualifications: Experience in data architecture, ETL, and business intelligence tools is essential.
- Other info: Opportunities for professional growth with incentivised certifications and a supportive team culture.
The predicted salary is between 48000 - 84000 £ 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.
Typically the role will involve the following:
- 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 an advantage
- Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching
- Good knowledge of Databricks, Snowflake, Azure / AWS / Oracle cloud, R, Python
At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritizes 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 prioritize 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.
Contact Detail:
Version 1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solution Architect
✨Tip Number 1
Familiarise yourself with the latest trends in data architecture and analytics. Being well-versed in tools like Databricks, Snowflake, and cloud platforms such as Azure or AWS will give you an edge during discussions with potential employers.
✨Tip Number 2
Engage with the data community through forums, webinars, and local meetups. Networking with professionals in the field can provide insights into the role and may even lead to referrals for positions at companies like us.
✨Tip Number 3
Prepare to discuss your hands-on experience with data solution architecture in detail. Be ready to share specific examples of projects you've worked on, particularly those involving ETL processes and data modelling, as these are crucial for the role.
✨Tip Number 4
Showcase your stakeholder management skills by preparing anecdotes that highlight your ability to communicate complex technical concepts to non-technical audiences. This is vital for a client-facing role like the Data Solution Architect position.
We think you need these skills to ace Data Solution Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Data Solution Architect. Tailor your application to highlight relevant experience in data architecture, analytics design, and client engagement.
Highlight Relevant Experience: In your CV and cover letter, emphasise your hands-on experience with data solution architecture, business intelligence tools, and ETL development techniques. Use specific examples from past projects to demonstrate your competencies.
Showcase Technical Skills: Make sure to mention your familiarity with key technologies such as Databricks, Snowflake, Azure, AWS, and programming languages like R and Python. This will show that you have the technical expertise needed for the role.
Craft a Compelling Cover Letter: Your cover letter should not only express your interest in the position but also explain how your skills and experiences align with the company's values and goals. Be sure to convey your enthusiasm for working in a digital-first environment.
How to prepare for a job interview at Version 1
✨Understand the Role
Make sure you have a solid grasp of what a Data Solution Architect does. Familiarise yourself with key responsibilities like translating business requirements into technical solutions and designing data architectures. This will help you articulate how your skills align with the role.
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with data architecture, ETL processes, and business intelligence tools. Highlight specific projects where you've successfully implemented data solutions, especially in client-facing environments.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare examples of how you've tackled challenges in data integration, data quality management, or stakeholder communication. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Demonstrate Your Communication Skills
As a Data Solution Architect, strong stakeholder management is crucial. Practice explaining complex technical concepts in simple terms. Be ready to discuss how you've effectively communicated with both technical teams and non-technical stakeholders in past roles.
