
Data Architect - Hybrid
OpenSky Data Systems
- Naas, Co Kildare
- Permanent
- Full-time
- Solution Architecture: Design and architect end-to-end data and AI solutions leveraging Microsoft technologies such as Azure Synapse Analytics, Microsoft Fabric, and Azure OpenAI.
- Client Engagement: Act as a technical advisor to clients, providing insights and recommendations on data architecture and AI strategies.
- Technical Leadership: Lead the technical design, be directly involved in the build and deployment of data and AI solutions, ensuring best practices and high-quality deliverables.
- Data Governance and Compliance: Implement data governance strategies using Microsoft Purview to ensure compliance with GDPR, NIS2, and ISO27001 standards.
- Integration and Implementation: Oversee the integration of data from various sources, ensuring seamless data flow across the organization.
- Strategic Planning: Collaborate with stakeholders to understand business needs and translate them into technical solutions.
- Innovation: Stay updated with the latest advancements in Microsoft Data & AI technologies and apply innovative approaches to solve complex business challenges.
- Team Collaboration: Work closely with cross-functional teams including data engineers, data scientists, and business analysts to deliver comprehensive solutions.
- Documentation: Develop and maintain architectural documentation, data models, and technical specifications.
- Proposal and Tender Support: Contribute to the preparation of proposals, technical specifications, and tender responses by providing input on data architecture and AI strategies, ensuring alignment with best practices and client needs.
- Quality Assurance: Ensure the integrity and quality of data and AI solutions through rigorous testing and validation.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Minimum of 3-7 years of experience as a data/solutions architect working Azure Synapse Analytics for data ingestion, ETL/ELT workloads, data integration, Machine Learning, and Generative AI solutions in real-world projects.
- Proven ability to manage multiple projects and meet deadlines, with a solid understanding of GDPR and NIS2 to ensure full compliance in all projects.
- Strong problem-solving skills and attention to detail with excellent communication skills with both technical and non-technical teams.
- Strong experience in client engagement, acting as a technical advisor, providing insights and recommendations on data architecture and AI strategies
- Extensive expertise in architecting solutions using Microsoft Azure Synapse Analytics and Power BI.
- Strong proficiency in Microsoft SQL Server, T-SQL scripting, and database design principles.
- Advanced knowledge of Azure Data Factory, SSIS, and Azure Data Storage solutions.
- Familiarity with programming languages such as Python or C# for scripting and automation.
- Proven experience in designing data warehouses, data lakes, and star schema models.
- Proficient in implementing DevOps practices using Azure DevOps, GitHub, and CI/CD pipelines.
- Strong understanding of big data architectures, data integration patterns, and best practices.
- Excellent analytical skills with the ability to handle complex, unstructured data sets.
- Deep understanding of data governance, data quality, and compliance requirements.
- Experience in leading technical teams and mentoring junior team members.
- Microsoft Certifications: Fabric Analytics Engineer Associate, Fabric Data Engineer Associate, Azure Data Engineer Associate, Azure Data Scientist Associate, Azure AI Engineer Associate, Power BI Data Analyst Associate.
- Expertise in Microsoft Azure Synapse Analytics.
- Expertise and working experience in Azure ML, AI Studio, and Azure OpenAI.
- Expertise in Microsoft Purview and Microsoft Fabric.
- Experience with Microsoft Cloud Adoption Framework.
- Creative thinker with the ability to innovate and provide strategic solutions.
- Incremental Increases in Annual Leave
- Continuous Professional Development
- Education Assistance Programme
- Digital Doctor Service
- Hybrid working
- Employee Assistance Programme (EAP)