Lead Application & Data Architect

Position Summary

We are seeking an experienced Data Architect to define, govern, and evolve the enterprise data architecture that supports analytics, reporting, operational intelligence, artificial intelligence, and emerging data-driven business capabilities. This role provides architectural leadership across Microsoft Fabric, One Lake, Data Warehouses, Lake houses, Azure Data Factory, Fabric Data Factory, SQL Server, and enterprise integration platforms. Our engineering organization has adopted Specification-Driven Development (SDD) as a core delivery discipline, and AI is a strategic priority.

Define enterprise data architecture strategy, design scalable and governable platforms, establish standards and best practices, provide architectural leadership for Microsoft Fabric adoption, support modernization initiatives, and enable AI-ready data foundations.

• Develop and maintain the enterprise data architecture roadmap.
• Establish target-state architectures for analytics, reporting, AI, and operational workloads.
• Lead Microsoft Fabric architecture and governance including One Lake, Lakehouse, Data Warehouse, Fabric Data Factory, semantic models, and security.
• Define standards for dimensional modeling, Data Vault, fact and dimension design, and slowly changing dimensions.
• Establish ETL/ELT architecture standards across Azure Data Factory, Fabric Data Factory, SSIS, and Pentaho.
• Create governance frameworks for data quality, lineage, metadata, security, privacy, and compliance.
• Define AI-ready data architecture patterns and support AI, machine learning, and generative AI initiatives.
• Conduct architecture reviews, mentor engineers, and establish reference architectures.
• Promote Specification-Driven Development and architecture-first practices.

• Bachelor degree in Computer Science, Information Systems, Engineering, Mathematics, or related field.
• 8+ years of experience in data architecture, data engineering, data warehousing, or analytics.
• 3+ years in a senior architecture or technical leadership role.
• Experience designing enterprise-scale cloud data platforms and modernization initiatives.

• Microsoft Fabric
• Azure Data Factory
• Fabric Data Factory
• SQL Server
• Azure Data Lake Storage
• One Lake
• Enterprise Data Architecture
• Dimensional Modeling
• Data Vault
• ETL/ELT Architecture
• CDC
• Data Governance
• Metadata Management
• Advanced SQL and T-SQL

• Azure Synapse Analytics
• Spark and Py Spark
• Power BI
• Infrastructure as Code
• CI/CD for data platforms
• AI and machine learning platform experience
• Enterprise architecture governance experience
• Specification-Driven Development experience

• Qlik Replicate
• Qlik Compose
• SSIS
• Pentaho Data Integration
• Legacy data warehouse modernization
• Hybrid cloud and on-premises architectures

• Enterprise architecture principles
• Data platform modernization
• Data products and data mesh concepts
• Lakehouse architectures
• Hybrid cloud architectures
• Strong stakeholder management and communication skills
• Strategic technology planning and roadmap development

• Define and execute enterprise data architecture strategy.
• Establish Microsoft Fabric as the strategic analytics platform.
• Create reusable architecture patterns.
• Improve enterprise data quality, governance, security, and reliability.
• Standardize warehousing, ETL/ELT, and analytics architecture practices.
• Enable scalable AI and advanced analytics solutions.
• Deliver architecture standards through disciplined SDD practices.
• Lead modernization from legacy environments to Microsoft Fabric.
• Work on a team leading in the adoption of Microsoft Fabric and AI-enabled data engineering capabilities.

• Microsof…