Data Architect Specialist
3 days ago
Estimated Salary: $120,000 - $180,000 per annum.
About the Role:
We are seeking an experienced Data Architect to join our team at Digital Prospectors. As a Data Architect, you will be responsible for designing and deploying enterprise-scale data analytics solutions using Microsoft Fabric components.
Key Responsibilities:
- Develop and deploy enterprise-scale data analytics solutions using Microsoft Fabric components (Lakehouses, Data Warehouses, Notebooks, Dataflows, Data Pipelines, Semantic Models, and Reports).
- Create and manage Power BI datasets, ensuring seamless integration with Microsoft Fabric and optimizing data transformation for performance and scalability.
- Implement analytics best practices, including version control, deployment strategies, and CI/CD pipelines within the Microsoft Fabric environment.
- Ensure compliance with data governance, security, and regulatory standards, focusing on protecting sensitive data.
- Partner with Solution Architects, Data Engineers, Data Scientists, AI Engineers, Database Administrators, and Power BI Data Analysts to design integrated data solutions.
- Engage with stakeholders to translate business requirements into effective technical solutions leveraging Microsoft Fabric.
- Apply advanced knowledge of data modeling, transformation, and exploratory analytics.
- Utilize programming skills in SQL, DAX, and PySpark for data transformations and model optimization.
- Manage Git-based source control for analytics assets, ensuring effective version control and collaboration.
Requirements:
- Proven experience in data architecture and analytics with a focus on Microsoft Fabric and Power BI.
- Strong proficiency in SQL, DAX, PySpark, and other relevant programming languages.
- In-depth knowledge of data modeling, data transformation, and CI/CD practices.
- Excellent communication and collaboration skills, with the ability to work effectively with diverse stakeholders.
- Certifications in Microsoft Fabric or related data analytics technologies are preferred.
- Experience with higher education data systems is a plus.
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