Data Scientist- Senior // Local to NC

Engagement Type

Contract

Short Description

NCDIT-T WEB is seeking a Data Scientist - Senior to support the NCDIT-T / NCDOT s rapid expansion of its enterprise data capabilities through Azure Databricks, Azure Data Factory, and modern analytics platforms.

Complete Description

**The candidate will need to come on-site on the first day to collect equipment.

**All candidates must be local to the Triangle region of North Carolina.

**While most working days will be remote, there will be the occasional need to be onsite at a Triangle area office for various in-person responsibilities as required by management.

NCDIT-T WEB is seeking a Data Scientist - Senior to support the

NCDIT-T / NCDOT s rapid expansion of its enterprise data capabilities through

Azure Databricks, Azure Data Factory, and modern analytics platforms. This

contractor will be a dedicated resource focused on establishing consistent

enterprise data practices that span both technical teams and business units as

they are building data ingestion, transformation, cleansing and analytics

solutions.





The contractor will provide the organization with an

experienced consultant who can work directly and collaboratively with business

units to understand how they define, interpret, and use their data, and then

translate those needs into consistent enterprise standards. This role will help

refine business-critical data elements, improve data definitions and lineage,

and establish reusable patterns that align both technical and business

perspectives. By partnering closely with business owners, the consultant will

strengthen data quality, improve confidence in enterprise data, and reduce

friction caused by inconsistent or unclear business rules.





The ideal candidate has advanced, specialized expertise in

enterprise data strategy, governance, and modern data architecture that cannot

be performed by an earlycareer resource. The position is responsible for

establishing foundational, organizationwide data management practices and must

operate as the initial member of a new Data Strategy & Governance function.

This requires a high level of independent judgment, architectural leadership,

and handson experience with complex data platforms.

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.

Required/Desired Skills

Skill	Required/Desired	Amount	of Experience
Ability to define and standardize enterprise data elements, lineage, and business rules across units with no existing framework.	Required	3.0	Years
Ability to collaborate with business teams to translate data needs into consistent enterprise standards.	Required	3.0	Years
Ability to implement governance practices including metadata, lineage, and data quality across projects with no existing framework.	Required	3.0	Years
Ability to document end-to-end data flows across systems to improve transparency and architecture clarity.	Required	3.0	Years