Version 1

Information Technology And Services

DataArchitect

€95–135k ~AI est. Dublin, County Dublin, Ireland FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Data Architect at Version 1. Skills: Data architecture, Analytics design, Data modelling, ETL. Translate business requirements. Produce technical specifications”

Industry & Context.

Information Technology And Services

What They're Looking For.

Must Have

Hands-on data solution architecture, Hands-on data design, Hands-on data rollout, Experience with business intelligence tools, Experience with data modelling, Experience with data staging, Experience with data extraction processes, Experience with data warehouse, Experience with cloud infrastructure, Knowledge of multi-dimensional design, Knowledge of star schemas, Knowledge of facts, Knowledge of dimensions, Experience in ETL development, Experience in data warehouse performance optimisation, Demonstrated understanding of data management, Demonstrated understanding of data profiling, Demonstrated understanding of data sourcing, Demonstrated understanding of data cleansing routines

Nice to Have

Experience across multiple industry sectors, Knowledge of Microsoft Fabric

What You'll Do.

Translate business requirements

Produce technical specifications

Design business intelligence platforms

Implement business intelligence platforms

Design modern data analytics platforms

Implement modern data analytics platforms

Design data architecture

Implement data architecture

Design data modelling

Implement data modelling

Design data integration

Implement data integration

Design data migration

Implement data migration

Design master data management

Implement master data management

Design data quality systems

Implement data quality systems

Work across data science initiatives

Work across data visualisation initiatives

Work across AI initiatives

Work across machine learning initiatives

Document data modelling

Document configuration

Work within project management

Work within agile delivery

Coordinate team members

Oversee technical delivery

How You'll Work.

Team & Collaboration

Agile delivery methodologies; Coordinate team members

Communication Scope

Stakeholder communication

Process & Methodology

Project management, Agile delivery

Full Job Description

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](https://www.version1.com/about-version-1/) 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 Data Solution Architect, you will take a senior architecture role in client solution delivery engagements, with high levels of customer engagement. This includes ongoing analysis of business requirements throughout the lifecycle of the service. You will bring a demonstrated understanding of data architecture, analytics design, and project delivery lifecycles, including experience working in client-facing environments. Key responsibilities include: * Translating business requirements into technical solutions and producing specifications * Designing and implementing business intelligence and modern data analytics platforms * Data architecture design and implementation * Data modelling * ETL, data integration, and data migration design and implementation * Master data management system and process design * Data quality system and process design * Working across data science, data visualisation, AI, and

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