Data Architect – Enterprise Data & Azure Solutions

About the role

We are looking for an experienced Data Architect to define and lead the solution data architecture for our enterprise platforms. You will design scalable data models, integration architectures, and information flows while ensuring alignment with governance, security, and business objectives.

Key responsibilities

• Define conceptual, logical, and high‑level physical data models for enterprise solutions.
• Design scalable solution data architecture for enterprise data platforms and customer data ecosystems.
• Develop end‑to‑end information architecture and data integration strategies.
• Create integration designs between systems such as Cloudera, Denodo, Microsoft Fabric, and Azure Data Platform.
• Define batch, real‑time, API‑based, and event‑driven integration patterns.
• Produce ERDs, information flow diagrams, and comprehensive data architecture documentation.
• Specify data mapping, transformation, metadata, master data, reference data, and lineage requirements.
• Incorporate data governance, quality, security, privacy, and compliance into designs.
• Collaborate with Enterprise Architecture, Data Engineering, Integration, Security, and Business teams.
• Participate in architecture reviews, technical workshops, and solution design discussions.

Required profile

• Bachelor's degree in Computer Science, IT, Software Engineering or related field.
• 8–12+ years of experience in Data Architecture, Enterprise Data Management or Solution Architecture.
• Strong expertise in enterprise data modeling (conceptual, logical, physical).
• Proven experience designing enterprise data integration architectures and information flows.

Required skills

• Microsoft Fabric
• Azure Data Factory (ADF)
• Azure Data Lake Storage Gen2
• Power Platform
• Azure data services
• Microsoft Customer Insights (CID/CIJ)
• Cloudera
• Denodo
• REST APIs and enterprise integration patterns
• Event‑driven architectures
• SQL Server Integration Services (SSIS)
• SQL and relational database design