Lead Application & Data Architect

Wolters Kluwer

. Define, govern, and evolve enterprise data architecture supporting analytics, reporting, operational intelligence, artificial intelligence, and emerging data-driven capabilities .

Posted 9/16/2026full-timeHouston • Colorado • United StatesSenior💰 $107,500 - $188,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in enterprise data architecture, including Microsoft Fabric, Azure Data Factory, and advanced SQL, while leading data governance and modernization initiatives to enhance data quality and analytics capabilities.

Highest-signal resume keywords

Microsoft FabricEnterprise Data ArchitectureData GovernanceETL/ELT ArchitectureDimensional Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData EngineeringData WarehousingAdvanced SQLT-SQLData VaultCDCAzure Data Lake StorageFabric Data FactoryAzure Synapse Analytics

Soft Skills

Stakeholder ManagementCommunicationMentoring

Tools & Technologies

Microsoft FabricAzure Data FactorySQL ServerPower BIPentaho Data Integration

Industry Keywords

Data GovernanceMetadata ManagementData Mesh ConceptsLakehouse ArchitecturesHybrid Cloud Architectures

Tech Stack

Tools & technologies

AzureCloudETLPySparkSparkSQLSSISVault

About the role

Key responsibilities & impact

Define, govern, and evolve enterprise data architecture supporting analytics, reporting, operational intelligence, artificial intelligence, and emerging data-driven capabilities
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 OneLake, 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
Define and execute enterprise data architecture strategy
Establish Microsoft Fabric as the strategic analytics platform
Create reusable architecture patterns and improve enterprise data quality, governance, security, and reliability
Standardize warehousing, ETL/ELT, and analytics architecture practices
Enable scalable AI and advanced analytics solutions
Lead modernization from legacy environments to Microsoft Fabric
Work on a team leading adoption of Microsoft Fabric and AI-enabled data engineering capabilities

Requirements

What you’ll need

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
OneLake
Enterprise Data Architecture
Dimensional Modeling
Data Vault
ETL/ELT Architecture
CDC
Data Governance
Metadata Management
Advanced SQL and T-SQL
Preferred: Azure Synapse Analytics, Spark and PySpark, Power BI, Infrastructure as Code, CI/CD for data platforms, AI and machine learning platform experience, enterprise architecture governance experience, Specification-Driven Development experience
Beneficial legacy platform experience with Qlik Replicate, Qlik Compose, SSIS, Pentaho Data Integration, legacy data warehouse modernization, and hybrid cloud/on-premises architectures
Knowledge of enterprise architecture principles, data platform modernization, data products and data mesh concepts, lakehouse architectures, hybrid cloud architectures, stakeholder management and communication, and strategic technology planning and roadmap development

Benefits

Comp & perks

Bonus eligibility
Medical, Dental, & Vision Plans
401(k)
FSA/HSA
Commuter Benefits
Tuition Assistance Plan
Vacation and Sick Time
Paid Parental Leave