Posted on: 27/05/2026
Description :
Key Responsibilities :
- Design and maintain enterprise-level data models and architecture solutions
- Optimize Data Warehouse and Data Lake schemas for scalability and performance
- Collaborate with business and technical stakeholders to understand data requirements
- Manage metadata, data lineage, and governance standards
- Support ETL and enterprise data integration processes
- Ensure data quality, consistency, and compliance with governance policies
- Improve reporting, analytics, and query performance across platforms
- Work on dimensional modeling and enterprise data architecture best practices
- Support cloud-based data platforms and modernization initiatives
- Maintain technical documentation and architectural standards
Required Skills & Experience :
- 10+ years of experience in Data Modeling and Data Architecture
- Hands-on expertise with ERwin, PowerDesigner, or similar modeling tools
- Strong SQL expertise with Oracle, SQL Server, and PostgreSQL
- Experience in dimensional modeling and enterprise data warehousing
- Knowledge of ETL and enterprise integration processes
- Experience with Snowflake and Azure Synapse
- Strong understanding of data governance, metadata, and lineage management
- Strong analytical, troubleshooting, and problem-solving skills
Preferred Candidate Profile :
- Experience working on enterprise-scale data architecture projects
- Strong understanding of modern cloud data platforms and analytics ecosystems
- Ability to collaborate with cross-functional teams and stakeholders
- Strong communication and technical leadership capabilities
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1639456