Senior Staff Engineer - Senior Data Modeler

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (18000 plus experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

Role - Senior Data Modeler
Location - Remote USA
Employment type - Fulltime

Job Overview:
Key responsibilities include:

• Work with data stewards to capture and certify data definitions.
• Map data assets across Finance, Commercial, HR, and Marketing, including tables, fields, and metrics requiring business definitions.
• Improve the existing Excel/Python-based intake process and explore opportunities to systemize it.
• Facilitate definition workshops with domain owners.
• Recommend business definitions, including descriptions, owners, related terms, and calculation logic.
• Follow up with stakeholders to maintain progress across domains.
• Help resolve cross-domain terminology conflicts.
• Clean and validate inputs before uploading them to Unity Catalog.
• Upload approved definitions and verify their accuracy and discoverability.
• Establish a lightweight governance process to keep definitions current.
• Document the end-of-the-end process for team handoff.
• Business Metadata & Data Definition Management Partner with Data Stewards and Business Owners to capture, validate, and certify business definitions.
• Document business terms, metrics, KPIs, and critical data elements within Unity Catalog.
• Maintain a centralized business glossary and metadata repository.
• Ensure business definitions are aligned with organizational standards and governance requirements.
• Data Asset Discovery & Mapping Identify and catalog data assets across Finance, Commercial, HR, Marketing, and other business domains.
• Map business terminology to physical data assets, including Tables Columns/Fields Reports Dashboards KPIs and Metrics Analyze relationships between data assets and business concepts.
• Definition Workshops & Stakeholder Collaboration Facilitate workshops with business stakeholders and domain experts.
• Gather requirements and business context for data definitions.
• Drive consensus on standardized terminology across domains. Resolve conflicts arising from differing business definitions and interpretations.

Tools & Technologies:

• Microsoft Excel Python Databricks Power BI/Tableau (Preferred) Azure Data Platform (Preferred) Jira/Confluence Microsoft Office Suite

 
Business Glossary & Governance Recommend and document:

• Business definitions Metric descriptions Calculation formulas Data ownership assignments Stewardship responsibilities Related business terms Establish governance standards for metadata creation and maintenance.
• Define approval and certification workflows for business definitions.
• Process Improvement & Automation Assess and enhance existing Excel-based and Python-based Metadata intake processes.
• Identify opportunities to automate metadata collection, validation, and approval workflows.
• Recommend scalable solutions for metadata management and governance. Data Quality & Validation Review and validate metadata submissions for completeness and accuracy.
• Ensure consistency in terminology, descriptions, and ownership information. Perform quality checks prior to publishing metadata in Unity Catalog.
• Support ongoing metadata audits and remediation activities.
• Unity Catalog Administration Support Upload approved business definitions into Unity Catalog.
• Verify searchability, discoverability, and usability of metadata.
• Ensure definitions are properly linked to business and technical assets. Support Metadata Lifecycle Management Activities.
• Governance Process Documentation Establish lightweight governance processes to maintain current and accurate business definitions.
• Create user guides, SOPs, and process documentation.
• Document intake, approval, certification, maintenance, and review procedures. Prepare handover documentation and train operational teams
   

Qualifications

Must have skills:

• Minimum 7 years of experience.
• Data Stewardship, Databricks, Databricks Data Governance, Unity Catalog

Good to have skills:

• Python (Strong)

Additional Information

Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, color, national origin, sex, age, disability, or marital status.