Senior Enterprise Data Modeler - Remote

NTT DATA; Pittsburgh (Allegheny County); Remote; USD 76,000 - 85,000; Full time

Benefits offered by this job

Medical insurance

401k program

Paid time off

Employee assistance

Job summary

NTT DATA Services seeks an experienced Data Modeler to design and maintain scalable data models for analytics, reporting, and data warehousing. You will translate complex business needs into conceptual, logical, and physical models across domains, collaborating with stakeholders, data architects, and governance teams.

You will leverage relational and dimensional modeling, metadata management, and cloud data platforms to ensure consistency, lineage, and governance across platforms.

Qualifications

• Experience designing conceptual, logical, and physical data models for enterprise platforms.
• Strong knowledge of relational and dimensional modeling, SCDs, and governance.
• Ability to translate complex business requirements into scalable data structures.

Responsibilities

• Design, develop, and maintain conceptual, logical, and physical data models for enterprise platforms.
• Translate business requirements into scalable data structures and models.
• Define entities, attributes, keys, hierarchies, and reference data across domains.
• Collaborate with Data Engineers to align models with ETL/ELT pipelines and data warehouses.

Skills

Relational data modeling

Dimensional modeling

Star schemas

Snowflake schemas

Normalization/denormalization

ER modeling

Data warehousing concepts

Facts/Dimensions/Grains

SQL proficiency

Cloud data platforms

ETL/ELT

Metadata management

Data governance

MDM/reference data

Agile

Communication

Education

Bachelor's degree in a related field

Tools

ER/Studio

ERwin Data Modeler

SAP PowerDesigner

Visio

Lucidchart

Job description

NTT DATA Services seeks an experienced Data Modeler to design and maintain scalable data models for analytics, reporting, and data warehousing. You will translate complex business needs into conceptual, logical, and physical models across domains, collaborating with stakeholders, data architects, and governance teams.

You will leverage relational and dimensional modeling, metadata management, and cloud data platforms to ensure consistency, lineage, and governance across platforms.