Data Modeler

Acme Services Private Limited; Maharashtra; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Acme Services Private Limited seeks a skilled Data Modeler to design and maintain enterprise data models for Private Markets. You will work with business, data engineering, and architecture teams to translate requirements into robust data structures and governance rules.

The role involves defining entities, relationships, attributes, and data definitions, ensuring models support reporting, analytics, and downstream applications, and documenting data dictionaries for ongoing governance.

Qualifications

• Strong experience designing conceptual, logical, and physical data models.
• Proven ability to map business requirements to data structures.
• Experience documenting data dictionaries and governance rules.

Responsibilities

• Design conceptual, logical, and physical data models for enterprise datasets.
• Develop and maintain enterprise data models for Private Markets.
• Collaborate with business, data engineering, and architecture teams on data requirements.
• Define entities, relationships, attributes, and business rules.
• Ensure models support reporting, analytics, integration, and downstream apps.
• Perform data mapping, lineage, and quality analysis.
• Identify improvements in data structures, governance, and consistency.
• Document data models and maintain data dictionaries.

Skills

Data modelling

Data governance

Data quality

Documentation

Job description

Job Description:

• Design conceptual, logical, and physical data models.

• Develop and maintain enterprise data models for Private Markets.

• Work closely with business, data engineering, and architecture teams to understand data requirements.

• Define entities, relationships, attributes, business rules, and data definitions.

• Ensure data models support reporting, analytics, integration, and downstream applications.

• Perform data mapping, data lineage, and data quality analysis.

• Identify opportunities to improve data structures, governance, and consistency.

• Document data models and maintain data dictionaries.