Enterprise Architect (20 / 10 / 2025)

Enterprise Architect (Data Leader) - Long term Contract

Location : Kolkata, Pune or Bengaluru

Flexible Working

Competitive Market Daily Rate on offer (USD)

Paritas is currently seeking an experienced Data Architect to join a leading IT Consultancy who will lead the design, implementation, and governance of enterprise data solutions. This role will emphasize operational data use cases designing data flows that support day-to-day business operations, core applications, and real-time services while also ensuring robust analytical and reporting capabilities. The ideal candidate will have a strong background in enterprise architecture, data strategy, and cloud technologies, with the ability to align both operational and analytical data initiatives with business objectives.

Key responsibilities :

• Define and implement enterprise data architecture, ensuring alignment with both operational and analytical business needs.
• Lead domain-driven data modeling efforts across conceptual, logical, and physical layers to ensure data designs reflect business domains and processes.
• Define and oversee Master Data Management (MDM) strategies, including tool selection, vendor evaluation, implementation, and adoption across the enterprise.
• Establish and maintain reference data management frameworks and governance processes.
• Develop and execute data strategies, including future state architecture, data governance, metadata management, data privacy, reference data management, and data integration.
• Lead the design and review of data architectures for both operational platforms (APIs, event streams, transactional systems) and analytical platforms (data lakes, warehouses, reporting).
• Establish and enforce data architecture standards, principles, and best practices across operational and analytical domains.
• Drive adoption of governance frameworks, data quality practices, and remediation of technical debt.
• Collaborate with application, integration, and analytics teams to deliver end-to-end data solutions.
• Evaluate and select tools for operational integration (streaming, APIs, MDM) and analytical processing (warehouses, BI platforms).
• Design and maintain conceptual, logical, and domain models spanning both transactional and analytical data.
• Mentor and guide teams in data architecture, integration, and business intelligence best practices

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