Data Modeller

NTT DATA North America; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

A leading technology services provider is looking for a Data Modeller in Bengaluru, Karnataka. The role involves developing and maintaining data models to meet business needs in the insurance sector. Applicants should have experience in data modeling and the ability to work collaboratively with data teams. This position offers the potential for hybrid work arrangements based on client requirements.

Qualifications

• Experience in developing and maintaining logical and physical data models.
• Knowledge of business processes within the Insurance domain.
• Ability to translate business requirements into data models.

Responsibilities

• Develop and maintain data models to support business needs.
• Design models aligned to Databricks medallion architecture.
• Implement and maintain modeling standards and documentation.
• Review existing models for simplification and standardization.
• Lead requirements evolution and translation into data models.
• Ensure the models accurately reflect Insurance processes and data elements before handing them over to engineering.

Skills

Data modeling

Data integrity

Collaboration

Business analysis

Tools

Databricks

Data visualization tools

Job description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward‑thinking organization, apply now.

We are currently seeking a Data Modeller to join our team in Bengaluru, Karnataka (IN‑KA), India (IN).

Key Responsibilities

• Develop and maintain data models—Logical and Physical—to support business needs ensuring data integrity for Insurance domains.
• Design models aligned to Databricks medallion architecture by translating the requirements of underwriting, delegated authority, reinsurance, actuarial, claims and finance.
• Implement and maintain modelling standards, naming conventions, metadata and documentation working closely with data analysts, data engineers, and associates in the data office.
• Review existing models and propose simplification, standardisation and target state improvements across projects and for wider requirements.
• Lead the evolution of requirements, refine and translate the specifications into data models to enable development phase.
• Ensure the models accurately reflect Insurance processes and data elements before handing them over to engineering.

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