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For Companies At a Glance
- Tasks: Lead data architecture projects and engage with clients to deliver innovative solutions.
- Company: Join Version 1, a trusted tech partner for global brands with over 26 years of success.
- 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 well-being.
- Qualifications: Experience in data architecture, business intelligence tools, and cloud infrastructure is essential.
- Other info: Opportunities for professional growth with incentivised certifications and a supportive work culture.
The predicted salary is between 43200 - 72000 £ per year.
Overview
Version 1 has celebrated over 29 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1. We’ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year – EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023. As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally.
Job Description
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 of 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 an advantage
- Comprehensive understanding of data management best practices including data profiling, sourcing, and cleansing routines utilizing 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.
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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
Familiarise yourself with the specific technologies mentioned in the job description, such as Databricks, Snowflake, and Azure. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Engage with the company on social media platforms like LinkedIn. Follow Version 1, interact with their posts, and share relevant content to demonstrate your interest in their work and culture.
✨Tip Number 3
Network with current or former employees of Version 1. Reach out for informational interviews to gain insights into the company culture and expectations for the Data Architect role, which can help you tailor your approach.
✨Tip Number 4
Prepare to discuss real-world scenarios where you've successfully translated business requirements into technical solutions. Be ready to showcase your problem-solving skills and how you've managed stakeholder relationships in previous roles.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data architecture, analytics design, and project delivery. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Data Architect position at Version 1. Mention specific projects or experiences that align with their focus on data science, AI, and cloud technologies.
Showcase Technical Skills: Clearly outline your hands-on experience with data solution architecture, business intelligence tools, and ETL development techniques. Provide examples of how you've successfully implemented data solutions in previous roles.
Highlight Stakeholder Management: Since strong stakeholder management is crucial for this role, include examples of how you've effectively communicated and collaborated with clients or team members in past projects.
How to prepare for a job interview at Version 1
✨Understand the Company and Its Values
Before your interview, take some time to research Version 1 and its core values. Understanding their focus on customer success and employee well-being will help you align your answers with what they value most.
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with data architecture, business intelligence tools, and ETL processes. Highlight specific projects where you've successfully implemented data solutions, as this will demonstrate your capability in a client-facing environment.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to translate business requirements into technical solutions. Practise articulating your thought process and how you would approach various data challenges.
✨Emphasise Communication and Stakeholder Management
Since the role involves strong stakeholder engagement, be ready to discuss your communication strategies. Share examples of how you've effectively managed team members and communicated complex technical concepts to non-technical stakeholders.
