Data Governance L4

Role: Data Governance L4

Location: Bentonville, AR - On-site - Fte

Job Overview:

We are looking for a talented and experienced Data Governance Specialist to join our data team. As a key player, you will be responsible for designing, developing, and implementing scalable data engineering solutions using Databricks and the broader Azure ecosystem. Your expertise will be crucial in building high-performance data pipelines, optimizing existing infrastructure, and enabling seamless integration of various data sources for business intelligence and machine learning applications.

Key Responsibilities:

• Data Governance Framework Development:

• Develop and implement data governance policies, processes, and standards to ensure proper data management across the organization.
• Collaborate with business and technical teams to establish data governance strategies that align with organizational goals.
• Monitor data governance compliance across different data domains and business units.

• Metadata Management:

• Define and implement a metadata management strategy to ensure the collection, management, and accessibility of metadata across the enterprise.
• Work with data stewards, business analysts, and IT teams to define and document metadata standards and practices.
• Maintain metadata repositories, ensuring metadata is accurate, up-to-date, and aligned with data governance policies.

• Data Lineage Implementation:

• Implement and maintain data lineage tools and processes to trace the flow of data across the organization, from source to destination.
• Create clear and comprehensive data lineage documentation that outlines data movement, transformation, and dependencies.
• Work with data engineering and data architecture teams to ensure data lineage is accurately mapped for all critical data processes.

• Data Quality & Compliance:

• Monitor data quality metrics and ensure adherence to established data governance policies.
• Perform audits and assessments to identify potential data governance risks or compliance gaps.
• Recommend improvements for data quality, metadata management, and data lineage processes.

• Collaboration & Training:

• Work closely with data governance, IT, business, and compliance teams to promote data governance best practices and raise awareness of metadata and data lineage importance.
• Provide training and guidance to business and technical users on data governance principles, metadata management, and data lineage best practices.
• Support the development of data stewardship programs and promote a culture of data ownership.

• Technology & Tools:

• Stay up-to-date with the latest tools and technologies in data governance, metadata management, and data lineage.
• Implement and maintain data governance and lineage platforms (e.g., Alation, Collibra, Informatica, Apache Atlas, or other industry-standard tools).
• Identify opportunities to improve the efficiency and effectiveness of metadata management and data lineage processes through automation or new tools.

Skills & Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field (Master's degree preferred).
• Proven experience in data governance, metadata management, and data lineage, with at least 3-5 years in a relevant role.
• Strong knowledge of data governance frameworks, data quality standards, and metadata management best practices.
• Familiarity with data lineage tools (e.g., Apache Atlas, Alation, Collibra, Informatica, etc.).
• Understanding of data privacy regulations (e.g., GDPR, CCPA) and the ability to implement data governance strategies that ensure compliance.
• Strong analytical and problem-solving skills with the ability to manage complex data workflows.
• Excellent communication and collaboration skills, with the ability to work across technical and business teams.
• Knowledge of SQL, data modeling, and database management systems (DBMS) is a plus.
• Experience with data integration and ETL processes is an asset.

Preferred:

• Certification in data governance (e.g., DAMA, CDMP).
• Experience in cloud-based data governance tools and platforms.
• Familiarity with data security standards and practices.