Data Architect
Wolters KluwerPune, Maharashtra, India
Posted May 26, 2026
Full Time
About the Company
Wolters Kluwer (EURONEXT: WKL) is a global leader in professional information, software solutions, and services for the healthcare, tax and accounting, financial and corporate compliance, legal and regulatory, and corporate performance and ESG sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services.   Wolters Kluwer reported 2024 annual revenues of €5.9 billion. The group serves customers in over 180 countries, maintains operations in over 40 countries, and employs approximately 21,000 people worldwide. The company is headquartered in Alphen aan den Rijn, the Netherlands. Beware of Recruitment Fraud! 🔒 Scammers may pose as Wolters Kluwer, offering fake job opportunities and requesting personal info or payments. Protect yourself: - Apply only via our secure Workday hub on our Careers page. - Our recruiters never ask for banking info or payments. - We don't use public email accounts (e.g., Hotmail, Yahoo, Gmail). Report suspected fraud: [email protected]. If you've made a payment, contact local authorities. Read more here - https://careers.wolterskluwer.com/en/recruitment-fraud-alert
Job Description
As a Data Architect, you will define, govern, and evolve the enterprise data architecture for Wolters Kluwer CPESG products, working closely with global teams to enable analytics, reporting, and advanced data use cases on Microsoft Azure.
Requirements
- Bachelor's degree in computer science, Engineering, or equivalent experience.
- 14+ years of experience in enterprise software development.
- 8+ years of experience in data architecture, data engineering, or data platform design.
- 4+ years of experience designing cloud-based data architecture, preferably on Microsoft Azure.
- Strong expertise in data modeling (relational, dimensional, analytical).
- Hands-on architectural knowledge of Azure Data Lake, Azure Synapse / Azure SQL, Azure Databricks, Azure Data Factory.
- Solid understanding of Lakehouse architecture and modern data platform patterns.
- Understanding of data warehousing concepts and tools
- Experience with streaming architectures (Event Hub, Kafka, Stream Analytics, Flink).
- Strong SQL and performance optimization knowledge.
- Experience defining data governance, security standards and data quality strategies.
- Strong communication and stakeholder management skills.
- Experience in Agile / Scrum environments.
- Experience working with global teams.
- Familiarity with cloud platforms (AWS, Azure, GCP)
Benefits
- Competitive salary
- Benefits
- Opportunities for growth and development
- Collaborative and dynamic work environment
