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, 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.

Position Purpose

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.

Key Responsibilities

• 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.

Required Qualifications

• 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.

Required Technical Skills

• 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 Qualifications

• 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

Knowledge & Competencies

• 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

Success Criteria

• 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.

Preferred Certifications

• Microsoft Fabric Analytics Engineer Associate

• Azure Solutions Architect Expert

• Azure Data Engineer Associate (DP-203)

• Azure Fundamentals (AZ-900)

• TOGAF

• CDMP

Job Family

Data & Analytics Architecture

Level

Principal / Lead Individual Contributor

Reports To

Director, Product Software Engineering

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$107,500.00 - $188,400.00 USD

This role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information :

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.