Data Architect

We are seeking a Data Architect who will play a pivotal role in designing the organization's data infrastructure to support current and future business needs. This role focuses on building a scalable, secure data architecture capable of handling large datasets, enabling real-time analytics, and integrating various systems. The Data Architect will be responsible for defining how data flows between D365 F&O, integrated systems, and the Azure data platform.

Responsibilities:

• Develop and implement the blueprint for data storage, integration, and access across the organization, prioritizing scalability, security, and performance.
• Design systems that facilitate real-time data ingestion and processing, supporting live analytics.
• Choose the right Azure services and tools (e.g., Azure Data Factory, Fabric, Databricks, Synapse Analytics) to meet the organization’s data storage, processing, and reporting needs.
• Build logical and physical data models that represent business processes and fulfill reporting and analytics requirements.
• Integrate data security, privacy, and compliance (e.g., GDPR, financial regulations) into the architecture to ensure protection across all layers.

Key Skills:

• Strong knowledge of Azure cloud services, such as Azure Data Lake, Synapse Analytics, SQL Database, and integration tools like Azure Data Factory.
• In-depth experience with D365 F&O data structures, entities, and integration to ensure smooth data flow from D365 F&O to the Azure data platform.
• Skilled in developing relational and dimensional data models, particularly in procurement and finance areas.
• Hands-on experience with lakehouse architectures that blend the scalability of data lakes and the performance of data warehouses, including familiarity with Delta Lake tables and Azure Synapse Analytics.
• Thorough understanding of data security frameworks, encryption techniques, and regulatory requirements, especially in the financial and procurement sectors.
• Ability to work collaboratively with Data Engineers, BI Developers, and business stakeholders, ensuring alignment between the data architecture and business objectives.