Description

You will design and maintain enterprise data models, translating business requirements into conceptual, logical, and physical structures. You will enforce data governance, manage metadata accuracy, and ensure alignment with architectural standards.

Responsibilities

• Create conceptual, logical, and physical data models to visualize entity relationships and define business rules.
• Develop canonical and Data as a Service models, leveraging SOA knowledge to support system integrations.
• Implement and maintain MDM solutions, including source system integration, data reconciliation, and deduplication rules.
• Establish governance processes for metadata accuracy, data quality tracking, and regulatory compliance.
• Perform data profiling and analysis to maintain model integrity and support capacity planning.

Required Skills

• 5+ years of experience in enterprise data modeling and data architecture.
• Proficiency in SQL, Python, R, and Scala for data analysis and querying.
• Hands-on experience with Azure Synapse, SQL Server, Snowflake, or Databricks.
• Strong knowledge of Master Data Management (MDM) toolkits and implementation.
• Experience with Service Oriented Architecture (SOA) and data integration strategies.
• Ability to communicate complex data designs to stakeholders and development teams.
• Understanding of data privacy laws, security standards, and disaster recovery planning.

Preferred Skills

• Experience with data lifecycle management and feasibility studies.

Key Skills

Education

Any Graduate