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.
