Data Architect

Data Architect

Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data architecture projects, translating business needs into technical solutions.
  • Company: Join Version 1, a trusted tech consultancy with over 26 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 team focused on innovation and professional development in a digital-first environment.
  • Qualifications: Experience in data architecture, ETL processes, and cloud technologies like Azure and AWS is essential.
  • Other info: Opportunities for certifications and career growth are available to help you excel.

The predicted salary is between 48000 - 84000 £ per year.

Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. 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.

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.

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

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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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 cloud platforms like Azure and AWS. Having hands-on experience or relevant projects to discuss can set you apart during interviews.

✨Tip Number 2

Showcase your understanding of data architecture and analytics design by preparing examples of past projects where you successfully translated business requirements into technical solutions. Be ready to discuss your approach to data modelling and ETL processes.

✨Tip Number 3

Highlight your stakeholder management skills by preparing anecdotes that demonstrate your ability to communicate effectively with clients. This is crucial for a role that involves high levels of customer engagement.

✨Tip Number 4

Research Version 1’s core values and recent achievements, such as their awards and recognitions. Being able to align your personal values with theirs during the interview can show that you’re a great cultural fit for the company.

We think you need these skills to ace Data Architect

Data Architecture Design
Business Intelligence Tools
Data Modelling
ETL Development Techniques
Data Integration
Data Migration
Master Data Management
Data Quality Management
Data Visualisation
Machine Learning
Cloud Infrastructure (AWS, Azure, Oracle)
Databricks
Python
R
Stakeholder Management
Agile Project Management

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Data Architect position. 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 your past roles to demonstrate your competencies.

Showcase Technical Skills: Make sure to include your proficiency in key technologies mentioned in the job description, such as Databricks, Snowflake, Azure, AWS, Oracle, R, and Python. This will help you stand out as a candidate who meets the technical requirements.

Craft a Compelling Cover Letter: Write a tailored cover letter that connects your skills and experiences to the specific needs of Version 1. Discuss how your background aligns with their core values and how you can contribute to their growth in the Digital, Data, and Cloud team.

How to prepare for a job interview at Version 1

✨Understand the Company Culture

Before your interview, take some time to research Version 1's core values and company culture. Understanding their focus on innovation and employee well-being will help you align your answers with what they value most.

✨Showcase Your Technical Skills

Be prepared to discuss your hands-on experience with data architecture, business intelligence tools, and ETL development techniques. Highlight specific projects where you've successfully implemented these skills, as this will demonstrate your capability for the role.

✨Prepare for Stakeholder Management Questions

Given the emphasis on strong stakeholder management in the job description, think of examples from your past experiences where you've effectively communicated with clients or managed team dynamics. This will show your ability to thrive in client-facing environments.

✨Ask Insightful Questions

At the end of the interview, don’t forget to ask questions that reflect your interest in the role and the company. Inquire about their current projects, the team structure, or how they measure success in their data solutions. This shows your enthusiasm and engagement.

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