Data Scientist
Pavani KolagotlaUnited StatesSENIORPosted 4d ago
Azure Data FactoryAzure DatabricksData GovernanceData LineageMetadata ManagementData QualityEnterprise Data StrategyCloud-based Data PlatformsData Engineering
About the Role
We are seeking a Data Scientist to join our team for a 12+ month contract. This role involves working with business stakeholders and technical teams to implement data governance practices and standardize enterprise data elements.
Key Responsibilities
• Collaborate with business stakeholders, application teams, database administrators, data engineers, analytics teams, and project teams to understand data requirements and identify improvement opportunities
• Identify authoritative data sources and establish common business definitions across enterprise data assets
• Define and standardize enterprise data elements, business rules, and data lineage across business units
• Implement data governance practices, including metadata management, lineage tracking, and data quality standards
• Standardize reusable data ingestion, transformation, cleansing, and validation patterns using Azure Data Factory and Azure Databricks
• Maintain an inventory of enterprise data assets, including data owners, data stewards, business definitions, and system relationships
• Document end-to-end data flows across applications, platforms, and reporting solutions
• Participate in data architecture and solution design discussions to promote consistency, scalability, and reuse
• Establish foundational data management practices and enterprise standards where formal governance frameworks may not yet exist
Requirements
• At least 3 years of experience defining and standardizing enterprise data elements, data lineage, and business rules across business units
• At least 3 years of experience translating business data requirements into consistent enterprise data standards
• At least 3 years of experience implementing data governance practices, including metadata management, data lineage, and data quality across projects
• At least 3 years of experience documenting end-to-end data flows across systems to improve data transparency and architectural clarity
• Advanced knowledge of enterprise data strategy, data governance, and modern data architecture
• Hands-on experience with cloud-based data platforms and data engineering solutions, particularly Azure Data Factory and Azure Databricks
• Strong stakeholder communication, analytical, documentation, and problem-solving skills
• Ability to work independently, exercise sound judgment, and lead enterprise data initiatives across technical and business teams
Important: Candidates must currently reside in the Raleigh, Durham, or Chapel Hill area and meet all mandatory requirements.