Principal Engineer,SQL Database

Data Architect - Nagarro

Nagarro is a rapidly scaling Digital Product Engineering company that builds inspiring products, services, and experiences across all devices and digital mediums. With over 18,000 experts in 39 countries, we foster a dynamic and non-hierarchical work culture. We are seeking talented colleagues to join our growing team.

Requirements:

• Total Experience: 11+ years.
• Core Expertise: Strong experience in Data Architecture, Data Modeling, and Database Design.
• Database Proficiency: Deep expertise in SQL Server (Must Have) and PostgreSQL (Must Have).
• Data Modeling: Hands-on experience with database normalization, schema design, and conceptual, logical, and physical data modeling.
• Performance Tuning: Strong experience in performance tuning, query optimization, and indexing strategies.
• Enterprise Data Models: Experience designing and governing enterprise data models, naming conventions, and referential integrity standards.
• Multi-tenant Architecture: Strong understanding of multi-tenant data architecture and data isolation strategies.
• Database Change Management: Experience with database change management, schema versioning, migration scripting, and CI/CD integration.
• Security & Compliance: Familiarity with data security and compliance requirements (SOC2, RBAC, encryption standards, audit logging).
• Data Modeling Tools: Experience with tools like Erwin, DbSchema, or equivalent.
• ETL/ELT: Understanding of ETL/ELT processes and data integration patterns.
• Collaboration: Experience collaborating with Software Architects and development teams in enterprise software or SaaS environments.
• .NET Data Access: Familiarity with .NET data access technologies (Entity Framework, ADO.NET).
• Cloud Platforms: Experience with cloud platforms, preferably Azure.
• Soft Skills: Strong communication, documentation, problem-solving, and stakeholder management skills.

Responsibilities:

• Lead the assessment, design, and implementation of normalized data architectures across SQL Server and PostgreSQL environments.
• Define and enforce enterprise data modeling standards, schema governance, naming conventions, and referential integrity practices.
• Develop and maintain canonical data models, ER diagrams, and data dictionaries.
• Identify and remediate legacy schema issues, driving migration to scalable and maintainable database structures.
• Establish indexing strategies, query optimization standards, and performance tuning best practices.
• Collaborate with Software Architects and engineering teams to align data architecture with application and integration designs.
• Design and enforce multi-tenant data isolation strategies across SaaS platforms.
• Integrate security, compliance, and governance requirements into database and schema designs.
• Implement and manage database change management processes, schema versioning, and CI/CD-driven deployments.
• Analyze application and business data access patterns to support scalable, low-latency architectures.
• Evaluate and recommend tools, frameworks, and best practices for schema management and database modernization.
• Support microservices and API-driven architectures through robust data layer design.
• Provide technical leadership and mentorship on database design and data modeling best practices.
• Ensure scalability, maintainability, performance, and reliability of enterprise database systems.
• Drive continuous improvement initiatives in data architecture, governance, and engineering practices.

Qualifications:

• Bachelor’s or master’s degree in Computer Science, Information Technology, or a related field.