Data Scientist- Senior (Hybrid)

Serigor • Raleigh, NC

1d • Hybrid

About The Position

The client is seeking a senior Data Scientist to support the expansion of enterprise data capabilities using Azure Databricks, Azure Data Factory, and modern analytics platforms. This contractor will establish consistent enterprise data practices across technical teams and business units involved in data ingestion, transformation, cleansing, and analytics.

The role works directly and collaboratively with business units to understand how they define, interpret, and use data, and translates those needs into consistent enterprise standards. The consultant will refine business-critical data elements, improve data definitions and lineage, and establish reusable patterns that align business and technical perspectives. The work is intended to strengthen data quality and confidence in enterprise data while reducing friction caused by inconsistent or unclear business rules.

As the initial member of a new Data Strategy & Governance function, this position establishes foundational, organization-wide data management practices. It requires independent judgment, architectural leadership, and hands-on experience with complex data platforms.

Requirements

• Ability to define and standardize enterprise data elements, lineage, and business rules across units with no existing framework; 3 years of experience.
• Ability to collaborate with business teams to translate data needs into consistent enterprise standards; 3 years of experience.
• Ability to implement governance practices including metadata, lineage, and data quality across projects with no existing framework; 3 years of experience.
• Ability to document end-to-end data flows across systems to improve transparency and architecture clarity; 3 years of experience.
• Advanced, specialized expertise in enterprise data strategy, governance, and modern data architecture.
• Hands-on experience with complex data platforms.
• Ability to exercise independent judgment and provide architectural leadership.

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.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed