Data Architect (Relational, Graph & Hierarchical Modelling)

Greeting from TEKNIKOZ

Location- India

Experience- 8years

• Design and implement enterprise-level data architecture solutions.
• Develop logical and physical data models for relational, graph, and hierarchical databases.
• Define data governance standards, naming conventions, and modelling best practices.
• Collaborate with business stakeholders, data engineers, and application teams to understand data requirements.
• Create conceptual, logical, and physical data models aligned with enterprise architecture.
• Design graph data models for relationship-driven use cases and knowledge graphs.
• Optimize database structures for scalability, performance, and data integrity.
• Implement data lineage, metadata management, and master data management strategies.
• Support migration and modernization initiatives for legacy databases.
• Ensure data security, compliance, and quality standards across platforms.
• Work with cloud-based data ecosystems and big data technologies.
• Review and improve existing data models and database performance.
• Provide technical guidance and mentorship to development and analytics teams.

• Strong expertise in:
• Relational Data Modelling
• Graph Data Modelling
• Hierarchical Data Modelling
• Experience with databases such as:
• Oracle
• SQL Server
• PostgreSQL
• Neo4j
• MongoDB
• Strong knowledge of:
• ER Modelling
• Data Warehousing
• Data Lakes
• Metadata Management
• Master Data Management (MDM)
• Data Governance
• Experience with modelling tools like ERwin, ER/Studio, or PowerDesigner.
• Good understanding of ETL/ELT pipelines and data integration frameworks.
• Experience working on cloud platforms such as AWS, Azure, or GCP.
• Strong SQL and database optimization skills.
• Understanding of API-based and event-driven architectures.
• Familiarity with Agile/Scrum methodologies.

• Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
• Certification in Data Architecture or Cloud technologies is preferred.
• Experience in enterprise-scale digital transformation projects.
• Knowledge of AI/ML data architecture is an added advantage.