About the role

Data Architect designing scalable, AI-ready data solutions for business transformations using Microsoft Azure technologies and Microsoft Fabric. Collaborate with engineering and business peers on analytics environments.

Responsibilities

Design end-to-end data architectures, defining ingestion, transformation, and curation patterns that support analytics and AI workloads
Ensure efficient replication, synchronization, and data flow across Fabric workspaces and multi-zone environments
Ensure all data architectures align with Microsoft’s Cloud Adoption Framework (CAF) and the Azure Well-Architected Framework
Partner with stakeholders to understand reporting, analytics, and AI needs and design scalable, flexible data models
Define structures, metadata, and access patterns for data discoverability and usability for AI workloads
Collaborate with peers to implement encryption, role-based access controls, and data masking
Guide architecture decisions related to Fabric SKUs and data refresh strategies
Work closely with Data Engineers to translate architecture into delivery and promote data quality
Produce reference architectures, blueprints, and reusable standards for future projects

7 or more years of experience in data architecture, data engineering, or data platform design
At least 2 years experience in the Microsoft Azure data ecosystem
Proven experience with Microsoft Fabric, Azure Data Factory, Synapse, and Power BI
Strong understanding of data lakehouse design, ELT/ETL patterns, and schema evolution
Proficiency in SQL and working knowledge of Python for automation or validation tasks
Familiarity with data governance and metadata management tools such as Microsoft Purview
Practical understanding of data security, RBAC, encryption, and privacy best practices
Excellent communication and collaboration skills with the ability to work across disciplines
Strategic thinker comfortable in AI-ready, iterative, and client-focused environments