Description

You will design and govern the enterprise data architecture to align business requirements with technical implementation.

Responsibilities

• Create conceptual, logical, and physical data models, including client hierarchies and canonical models.
• Develop Data as a Service models and utilize SOA principles to support system integrations.
• Manage MDM toolkit implementation, including data reconciliation, deduplication, and source system integration.
• Establish governance processes for metadata accuracy, data quality, and naming standards.
• Perform data profiling and analysis to maintain model integrity and address integration challenges.
• Design strategies for data security, backup, disaster recovery, and regulatory compliance.

Required Skills

• 5+ years of experience in data modeling and architecture.
• Proficiency in SQL, Python, R, and Scala for data querying and analysis.
• Hands-on experience with Azure Synapse, SQL Server, Snowflake, or Databricks.
• Strong understanding of SOA and data integration patterns.
• Experience with Master Data Management (MDM) workflows and data profiling.
• Ability to document data designs and communicate technical recommendations to stakeholders.
• Knowledge of data privacy practices and regulatory compliance requirements.
• Any Graduate degree.

Key Skills

Education

Any Graduate