Senior Staff Engineer - Senior Data Modeler

Nagarro; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Nagarro is seeking a Senior Staff Engineer focused on data modeling to work remotely within the United States. You will lead data modeling initiatives, define data structures and standards, and collaborate with engineering and product teams to integrate models into broad systems and analytical use cases.

The role requires senior-level expertise in data modeling and data architecture, with a strong grasp of modern modeling techniques and metadata practices, and the ability to operate in a remote

Qualifications

• Senior-level experience in data modeling, data architecture, or related engineering disciplines.
• Strong understanding of modern data modeling techniques and metadata practices.
• Ability to work as a senior staff engineer within a remote US-based team.

Responsibilities

• Lead data modeling initiatives as a senior staff-level individual contributor
• Define and evolve data structures, schemas, and standards aligned with business and technical needs
• Collaborate with engineering and product teams to integrate data models into broader systems and analytical use cases

Skills

Data modeling

Data architecture

Metadata practices

Remote work

Job description

Role overview

A senior staff engineer position with a specialization in data modeling, working remotely within the United States. The role sits within an Engineering organization that supports the UCC service region in the Information Technology and Services sector. It is classified as a senior-level individual contributor role.

Responsibilities

• Lead data modeling initiatives as a senior staff-level individual contributor
• Define and evolve data structures, schemas, and standards aligned with business and technical needs
• Collaborate with engineering and product teams to integrate data models into broader systems and analytical use cases

Requirements

• Senior-level experience in data modeling, data architecture, or related engineering disciplines
• Strong understanding of modern data modeling techniques, tooling, and metadata practices
• Ability to operate effectively as a senior staff engineer within a remote, US-based team