Company Description
Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Our expertise enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants 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 Version 1 and 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!
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.

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 solution (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.

Qualifications

Hands on experience with data solution architecture, design, rollout and technical leadership,

• Hands on experience with business intelligence and analytics tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure,
• Strong team leadership and/or customer management experience; experience of leading a team of technical resources and developing junior and senior people on the team.
• Cloud experience in AWS or Azure with Databricks experience is desirable.
• Experience and demonstrated competencies with multi-dimensional design, star schemas, facts and dimensions.
• Expertise in logical and physical data warehouse database design, DWH development
• Experience and demonstrated competencies in ETL development techniques
• Experience in data warehouse performance optimization,
• Good knowledge and concepts around data science, data visualisation etc. side.
• 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, Azure / AWS / Snowflake, Oracle cloud, R, Python.

Additional Information

• 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 solution (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