Senior Data Scientist: Enterprise Data Strategy & Governance

Intellibee Inc; Raleigh (NC); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Long-Term Stability

Comprehensive Health Coverage

Future Planning 401(k)

Green Card support

Job summary

Intellibee Inc. in Raleigh, NC seeks a Senior Data Scientist to drive enterprise data governance and data quality initiatives.

The role focuses on establishing standardized data practices across business units, partnering with stakeholders to define authoritative data sources, and implementing reusable data patterns with Azure Databricks and Data Factory. The position requires hands-on experience with modern data platforms, strong collaboration with cross-functional teams, and the ability to

Qualifications

• Establish enterprise data governance, metadata, lineage, and quality practices across units.
• Standardize and document data definitions and business rules for consistency.
• Collaborate with teams to translate data needs into enterprise standards.

Responsibilities

• Partner with stakeholders to understand data needs and opportunities for governance and quality improvements.
• Identify authoritative data sources and define common business definitions.
• Incorporate metadata, lineage, and data quality into ongoing initiatives.
• Standardize data ingestion, transformation, cleansing, and validation using Azure tools.
• Maintain an inventory of data assets including owners and definitions.
• Document data flows across systems and reporting solutions.
• Participate in data architecture discussions to promote consistency and reuse.

Skills

Data governance

Data lineage

Data quality

Documentation

Tools

Azure Data Factory

Azure Databricks

Power BI

Job description

Intellibee Inc. in Raleigh, NC seeks a Senior Data Scientist to drive enterprise data governance and data quality initiatives.

The role focuses on establishing standardized data practices across business units, partnering with stakeholders to define authoritative data sources, and implementing reusable data patterns with Azure Databricks and Data Factory. The position requires hands-on experience with modern data platforms, strong collaboration with cross-functional teams, and the ability to