Job description

Title: NCDOT - Data Scientist- Senior Duration: 10/19/2026 - 10/18/2027 Location: NCDOT Century Center, Building B 1020 Birch Ridge Drive Raleigh, NC 27610 Position: Hybrid Key Responsibilities: - Partner with business stakeholders, application teams, Database Administration, Data Engineering, Power BI, and project teams to understand data needs and identify opportunities for improvement. - Facilitate discussions to identify authoritative data sources, establish common business definitions, and improve understanding of enterprise data assets. - Work with project teams to incorporate practical data governance, metadata, lineage, and data quality practices into ongoing initiatives. - Identify opportunities to standardize and reuse data ingestion, transformation, cleansing, and validation patterns across projects using Azure Data Factory and Azure Databricks. - Help develop and maintain an inventory of enterprise data assets, including data owners, stewards, business definitions, and system relationships. - Collaborate with business and technical teams to document how data flows across applications, platforms, and reporting solutions. - Participate in data architecture and solution design discussions to promote consistency, scalability, and reuse across enterprise data solutions.

Requirements

Must-haves

Title: NCDOT - Data Scientist- Senior
Duration: 10/19/2026 - 10/18/2027
Location: NCDOT Century Center, Building B 1020 Birch Ridge Drive Raleigh, NC 27610
Position: Hybrid
Partner with business stakeholders, application teams, Database Administration, Data Engineering, Power BI, and project teams to understand data needs and identify opportunities for improvement.
Facilitate discussions to identify authoritative data sources, establish common business definitions, and improve understanding of enterprise data assets.
Work with project teams to incorporate practical data governance, metadata, lineage, and data quality practices into ongoing initiatives.
Identify opportunities to standardize and reuse data ingestion, transformation, cleansing, and validation patterns across projects using Azure Data Factory and Azure Databricks.
Help develop and maintain an inventory of enterprise data assets, including data owners, stewards, business definitions, and system relationships.
Collaborate with business and technical teams to document how data flows across applications, platforms, and reporting solutions.
Participate in data architecture and solution design discussions to promote consistency, scalability, and reuse across enterprise data solutions.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azure

Platform: jobdiva
Effort: medium