Overview
eirevo talent are seeking applications for a Data Architect, this is a day rate contract located in Dublin North, the role is hybrid.
Requirements:
1. Architectural Leadership: Lead the selection and implementation of data infrastructure technologies, such as data lakes, warehouses, lakehouses, orchestration tools, and streaming platforms. Design and evolve the enterprise data architecture, including integration with Databricks, Data Lake, Data Factory, and other core services.
2. AI Enablement: Collaborate with Data Science and AI teams to architect solutions that support machine learning operations (MLOps), predictive analytics, and intelligent automation.
3. Platform Strategy: Define & implement engineering standards, best practices, governance frameworks, and architectural blueprints for the data platform ecosystem.
4. Stakeholder Engagement: Partner with business units, product owners, and engineering teams to translate strategic goals into scalable data solutions.
5. Innovation & Optimisation: Evaluate emerging technologies and recommend enhancements to improve performance, cost-efficiency, and resilience of the data platform.
6. Security & Compliance:Ensure data architecture adheres to daa's compliance standards, including GDPR and EEA residency requirements.
7. Enterprise Scale: Work with Enterprise DevOps and Cloud Engineering teams to ensure infrastructure-as-code, CI/CD, and monitoring practices are in place.
8. Mentorship:Guide and upskill data engineers and analysts in best practices for data architecture, pipeline design, and cloud-native development.
Skills & Experience
9. Proven experience architecting data platforms on Microsoft Azure, including Databricks, Data Lake Storage Gen2 & Azure Data Factory.
10. Strong understanding of Lakehouse architecture, Delta Lake, PySpark & SQL.
11. Experience with AI/ML workflows, including MLOps, model lifecycle management, and integration with data pipelines.
12. Strong understanding of data governance, lineage, security, and privacy frameworks.
13. Proficiency in data modelling, ETL/ELT design, and metadata management.
14. Familiarity with Power BI, Azure DevOps or Jira, GitHub and CI/CD pipelines.
15. Experience in large-scale enterprise environments with complex data ecosystems.
16. Proven track record of delivering innovation and continuous improvement.
If you are interested in applying for this role, please do so via the relevant link. If you would like to discuss this role in confidence, please contact directly.
EET