Data Architect
Position Summary
As a Data Architect, you will be responsible for defining, governing, and evolving the enterprise data architecture for Wolters Kluwer CPESG products This role focuses on architectural leadership, data strategy, and goverce, ensuring scalable, secure, and high-quality data platforms primarily on Microsoft Azure
You will work closely with Data Engineering teams in India and globally, Product Engineering, Security, and Business stakeholders to enable analytics, reporting, and advanced data use cases, while aligning with Wolters Kluwer s global architecture and compliance standards
Education :
Bachelors degree in computer science, Engineering, or equivalent experience
Must have:
14+ years of experience in enterprise software development Min 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 goverce, 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)
Nice to have:
Exposure Microsoft Fabric, Power BI and Azure Analysis Services
Experience in designing maintaining enterprise applications with large data
Azure certifications such as Azure Solutions Architect or Data Engineer Associate are preferred
Understanding of understanding vector data / embeddings / semantic search
Essential Duties and Responsibilities:
Define and own data architecture standards and reference architecture for Azure-based data platforms
Design end-to-end data architectures covering ingestion, transformation, storage, analytics, metadata, and consumption
Establish and govern data modeling standards (conceptual, logical, and physical models)
Define architectural patterns for batch and real-time data processing
Provide architectural guidance and design reviews for Data Engineers and development teams
Ensure alignment of data solutions with cloud, security, privacy, and compliance requirements
Drive data goverce, data quality, lineage, and metadata management practices
Partner with business and product stakeholders to translate business needs into scalable data solutions
Define and maintain the data platform roadmap, aligned with analytics, reporting, and AI initiatives
Evaluate emerging data technologies and guide adoption where appropriate
Author and maintain architecture documents, diagrams, standards, and decision records
Collaborate with global teams to ensure consistency with enterprise architecture principles
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
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.