Lead Application & Data Architect

Wolters Kluwer•Houston, TX

5d•Onsite

About The Position

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, OneLake, Data Warehouses, Lakehouses, 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.

Requirements

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

Nice To Haves

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
Legacy Platform Experience (Beneficial)
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
Microsoft Fabric Analytics Engineer Associate
Azure Solutions Architect Expert
Azure Data Engineer Associate (DP-203)
Azure Fundamentals (AZ-900)
TOGAF
CDMP

Responsibilities

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 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.
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.