Senior Data Scientist - HYBRID (Locals to Triangle region, NC)

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

Job summary

Chandra Technologies, Inc. is seeking a Senior Data Scientist to support a Triangle-region engagement in Raleigh, NC. The role focuses on establishing enterprise data strategy, governance, and modern data architecture using Azure Databricks and Azure Data Factory.

You will partner with business units to define data standards, improve lineage, and create reusable patterns that align technical and business perspectives. The incumbent leads data architecture efforts with hands-on platform work.

Qualifications

• Experience defining and standardizing enterprise data elements and lineage.
• Ability to translate business needs into consistent data standards.
• Experience implementing metadata, data quality, and governance across projects.
• Strong ability to document end-to-end data flows and system relationships.

Responsibilities

• Partner with stakeholders to understand data needs and opportunities for improvement.
• Identify authoritative data sources and establish common business definitions.
• Incorporate governance, metadata, lineage, and data quality into initiatives.
• Standardize data ingestion, transformation, cleansing, and validation patterns.
• Maintain an inventory of data assets with owners and business definitions.
• Document data flows across applications, platforms, and reporting solutions.
• Participate in architecture discussions to promote consistency and reuse.

Skills

Data governance

Business requirements translation

Stakeholder collaboration

Documentation

Tools

Azure Databricks

Azure Data Factory

Power BI

Job description

Job Description

• Crop to Crop resumes are accepted

Location Requirement

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

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 early‑career resource. The position is responsible for establishing foundational, organization‑wide 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 hands‑on 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 Skills

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