Description

You will design and maintain the enterprise data architecture to support complex business integrations and data governance.

Responsibilities

• Create conceptual, logical, and physical data models to define business entities, relationships, and client hierarchies.
• Develop canonical models, Data-as-a-Service models, and leverage SOA knowledge to support system integrations.
• Perform data profiling and analysis to establish, modify, and maintain data models and MDM solutions.
• Implement business rules for data reconciliation, deduplication, and enforcement of naming standards.
• Establish processes for metadata governance, data quality tracking, and lifecycle management.
• Analyze system integration challenges and propose strategic solutions for data capacity planning and feasibility studies.

Required Skills

• 10+ years of experience in conceptual data modeling and relationship visualization.
• 10+ years of experience building logical and physical data models for client hierarchies.
• 10+ years of experience developing canonical and Data-as-a-Service models.
• 10+ years of experience with MDM solution implementation and toolkit support.
• 10+ years of experience in data profiling, analysis, and source system integration.
• 10+ years of experience implementing data reconciliation and deduplication business rules.
• 10+ years of experience in metadata governance and accuracy validation.
• 10+ years of experience tracking data quality, completeness, and redundancy.
• Any Graduate degree.

Key Skills

Education

Any Graduate