
Cloud Data Architect
4 days ago
We are seeking an experienced Senior Microsoft Azure Data Specialist to lead the design, development, and implementation of data solutions using Microsoft Azure technologies. This is a key role in our organization, requiring expertise in cloud-based data architectures, data modeling, and warehousing.
Key Responsibilities:
- Develop scalable, software-as-a-service (SaaS) customer-facing portals to support unified data models and taxonomies.
- Define data architecture and technical requirements for continued development of dimensional models in the Azure environment.
- Enable all collected or sourced data to be integrated and available within a centralized platform.
- Support ingestion and synchronization of data across information systems.
- Leverage Dynamics 365 to centralize and manage stakeholders, provide data lineage, and offer multi-views of initiatives.
- Ensure data is discoverable, accessible, and asset owners are clearly identifiable to promote effective sharing and reuse of data available and maximize its value.
- Develop dynamic data visualizations using PowerBI with analytical capabilities to extrapolate meaningful insights.
- Development of governance, quality, performance, security, and compliance documentation in line with Australian Government legislation, policies, and procedures.
- Excellent stakeholder management, communication, negotiation, and influencing skills to drive effective collaboration across teams and explain complex data concepts to non-technical audiences.
Requirements:
- Strong understanding of Microsoft Azure technologies, including Azure Data Factory, Azure Synapse Analytics, and Azure Storage.
- Experience with data architecture, data modeling, and data warehousing.
- Proficiency in developing scalable, cloud-based data solutions using Azure services.
- Ability to communicate complex data concepts to non-technical stakeholders.
- Strong stakeholder management and collaboration skills.
What We Offer:
- Competitive remuneration package.
- Opportunity to work with a leading organization in the field of data and analytics.
- Collaborative and dynamic work environment.
- Professional development opportunities.
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