My Dublin City Centre based client is recruiting for a Data Solutions Architect. This is a perm role working on a hybrid model. This is a fast-evolving area, offering opportunities to expand your capabilities and keep pace with the demands of an increasingly digital world. Data Solutions Architect will bring a strategic, data-driven approach to product development & business transformation. This role involves driving projects from vision to execution delivering modern data architecture that supports critical business decisions.Key ResponsibilitiesDeliver best-in-class solutions across Data Warehousing, BI, ERP, and CRM platforms, while managing internal team members and key external partners.Advise on and implement data management strategies and operating models.Design and document target architectures for operational data storage and data warehousing, integrating both real-time streams and batch data sources.Lead on data strategy, architecture, and the design and implementation of data integration, transformation, visualisation, and analytics.Oversee the development of robust data solutions, including testing frameworks, documentation, and delivery processes.Build long-term relationships with stakeholders and identify business development opportunities.Prioritise and lead initiatives that enhance and evolve the overall data and BI architecture.Champion data governance initiatives and foster a data-first mindset across teams.Mentor colleagues on the importance and value of data-driven decision making.Skills and ExperienceRequiredBachelor’s degree in a relevant field or equivalent experience, ideally with exposure to architecture frameworks such as TOGAF.6+ years of experience in a client-facing or consulting role.7+ years of proven experience in data architecture, solutions architecture, or a related role.Strong background in data modelling, SQL, and database design across multiple platforms.Hands-on experience with relational and non-relational databases such as Oracle, SQL Server, MongoDB, and Cassandra.In-depth understanding of data integration techniques, ETL processes, and data warehousing.Experience with cloud platforms like AWS, Google Cloud, or Microsoft Azure, particularly with data storage, processing, and security.Ability to solve complex problems, troubleshoot data issues, and design efficient processes.Excellent communication skills, with the ability to translate technical concepts for non-technical audiences.Strong leadership qualities with a proven ability to lead teams and deliver results.Degree with a focus on Computer Science, Information Technology, Engineering, Mathematics, or similar (Master’s preferred).Certifications in cloud platforms, data management, or automation technologies.Experience in software development and scripting/coding for process automation.Background in managing software production environments and technical support teams.Familiarity with cloud infrastructure in the context of automation and data engineering.Exposure to AI, generative AI, automation, and advanced modelling techniques.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation TechnologyIndustriesInformation Services
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