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 governance, 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:

. Bachelor's 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 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)

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 governance, 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.

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