Data Architect – Microsoft Azure, Microsoft Fabric

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🕒 March 27

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Architech

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2004

🤝 B2B

🏢 Enterprise

🤖 Artificial Intelligence

B2B • Enterprise • Artificial Intelligence

Architech is a digital transformation and software engineering services firm that helps enterprises modernize legacy systems and launch cloud-native, AI-enabled applications quickly. They offer application innovation, data & intelligent applications, GitHub enablement and DevOps optimization, and provide engagement models including dedicated agile teams, staff augmentation, and outcome-based projects. Architech focuses on delivering measurable ROI for enterprise clients through practical AI implementations, secure scalable architectures, and developer experience improvements.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Continuous growth with learning budgets • Internal bootcamps • Certification bonuses • Summit days