Level

Version 1

Data Architect

AI in this role

databricks

Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.  

We’re an award-winning employer reflecting how our employees are at the very heart of what we do:  

  • UK & Ireland's premier AWS, Microsoft & Oracle partner  

  • 3300+ strong, €350/£300m revenue business  

  • 10+ years as a Great Place to Work in Ireland & UK  

  • Best Workplace for Women in the UK & Ireland by GPTW  

  • Best Workplace for Wellbeing in the UK by GPTW  

We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you!

As a Senior Data Architect, you will be responsible for providing architecture guidance on client solution delivery engagements, with regular client and customer engagement. This will involve ongoing analysis of business requirements throughout the lifetime of the service. Candidates will have experience in data architecture, analytics design and project delivery life cycles, with experience working in client-facing environments. 

The role will involve

  • Translating business requirements into technical solutions and producing specifications. 
  • Designing and implementing business intelligence and modern data analytics platform technical solutions.
  • Designing and implementing data architecture. 
  • 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. 
  • Working with data science, data visualisation, AI and ML.
  • Documenting solutions, including data modelling, configuration and setup, HLD and LLD. 
  • Working within a project management or agile delivery methodology. 
  • Managing team members on a day-to-day basis. 
  • Managing technical delivery of solutions. 
  • Managing stakeholders and communicating clearly with relevant teams and clients

Essential experience and skills:

  • Experience with data solution architecture, design and rollout.
  • 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 competency in ETL development techniques.
  • Experience in data warehouse performance optimisation. 
  • Understanding of data management best practice, including experience with data profiling, sourcing and cleansing routines using typical data quality functions involving standardisation, transformation, rationalisation, linking and matching. 
  • Knowledge of Databricks, Snowflake, Azure, AxoWS or Oracle Cloud, R and Python. 

Desirable experience

  • Experience on projects across a variety of industry sectors

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. 

  • Salary Range: 80,000 - 95,000 Euros

  • Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits 

  • Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme 

  • Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance 

  • Financial Wellbeing initiatives including; Version 1 Pension with a 5% employee-matched contribution, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme 

  • Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more.  

  • 24 days holiday allowance plus Public Holidays, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies 

  • Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat 

  • Reward schemes including Version 1’s Annual Excellence Awards & quarterly Star Awards. 

  • Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. 

And many more exciting benefits… drop us a note to find out more. 

Version 1 is an equal opportunities employer 

We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring including those shaped by disability and neurodiversity. 

We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact Nai.Bruce@version1.com at Version 1. We will consider all requests carefully, respectfully and confidentially.

#LI-NB1

How we rate this

Data Architect at Version 1 rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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