Data Architect

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 Responsibilities

• Deliver 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 Experience

Required

• Bachelor’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.

Desirable

• 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.

Benefits

• Pension and insurance plans
• Paid maternity and paternity leave
• Health and wellness support, including online GP access
• Cycle-to-work and travel pass schemes
• Recognition and referral programs
• Hybrid and flexible working options
• Technology and travel allowances
• Funded MBA or other learning opportunities
• Access to gym memberships and wellness spaces (location dependent)