Jobs → Data & Analytics → Data Scientist

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.

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