Job description
Company Description
馃憢馃徏We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
Job Description
REQUIREMENTS:
- Total experience 9+ years
- Strong experience in Data Architecture / Data Modeling / Database Design
- Deep expertise in SQL Server (Must Have) and PostgreSQL (Must Have)
- Hands-on experience in database normalization, schema design, and data modeling (conceptual, logical, physical)
- Experience in performance tuning, query optimization, and indexing strategies
- Strong understanding of multi-tenant data architecture and data isolation strategies
- Experience with database change management, schema versioning, and CI/CD integration
- Knowledge of data governance, naming conventions, and referential integrity standards
- Experience with data security practices (SOC2, RBAC, encryption, audit logging)
- Familiarity with data modeling tools (Erwin, DbSchema, or equivalent)
- Experience working with cloud platforms (Azure preferred)
- Understanding of ETL/ELT processes and data integration patterns
- Familiarity with .NET data access technologies (Entity Framework, ADO.NET)
- Strong collaboration skills with architects, developers, and cross-functional teams
- Excellent problem-solving, documentation, and communication skills
RESPONSIBILITIES:
- Design and implement scalable, normalized data architectures across SQL Server and PostgreSQL environments
- Define and enforce enterprise data modeling standards, schema governance, and naming conventions
- Develop and maintain canonical data models, ER diagrams, and data dictionaries
- Identify and remediate legacy schema issues, driving migration to optimized and maintainable structures
- Establish indexing strategies, query optimization standards, and performance tuning practices
- Collaborate with software architects and engineering teams to align data architecture with application design
- Design and enforce multi-tenant data isolation strategies for SaaS platforms
- Integrate data security, compliance, and governance requirements into schema design
- Implement and manage database change processes, including CI/CD pipeline integration
- Analyze and define data access patterns to support scalable and low-latency systems
- Evaluate and recommend tools for schema management, migration, and database evolution
- Support microservices and API-driven architectures through well-designed data layers
- Mentor developers on best practices in data modeling and database design
- Ensure high availability, scalability, and performance of database systems
- Drive continuous improvement in data architecture, governance, and engineering practices
Qualifications
Bachelor鈥檚 or master鈥檚 degree in computer science, Information Technology, or a related field
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