BNP-Data Management Engineer

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• Implement and enforce data governance best practices and policies to ensure data accuracy, consistency, and privacy.
• Assist in defining and maintaining business-friendly data definitions across domains to support consistent understanding and usage.
• Collaborate with data engineers and analysts to ensure data models align with data and analytics needs.
• Facilitate the adoption of Atlan among teams to streamline data cataloging, data lineage, metadata management, and cross-functional collaboration.
• Work closely with business leaders to identify data governance needs and implement solutions that meet regulatory and organizational standards.
• Mentor and provide guidance to junior engineers and data professionals in best practices for data management and governance.
• Identify opportunities for process improvements, automation, and efficiencies in data management workflows.
• Manage data controls and audit processes in collaboration with data engineering and technical operations teams.
• Proactively address data-related challenges, proposing solutions that align with organizational needs.
• Identify and resolve data quality issues.

• Proven expertise in data governance frameworks, data cataloging, data controls, and metadata management.
• Strong communication and collaboration skills, with the ability to work effectively in cross‑functional teams.
• Hands‑on experience with Atlan or similar data management platforms (e.g., Alation, Collibra).
• Strong understanding of data privacy regulations (GDPR, CCPA) and best practices in data governance.
• Excellent problem‑solving and analytical skills with keen attention to detail.
• Strong, demonstrable knowledge of BI industry standards, Master Data Management, Data Lineage, and Data Engineering.

• Hands‑on experience with Atlan or similar data management platforms (e.g., Alation, Collibra).
• Agile methodologies, JIRA, Confluence.
• Experience with cloud‑based data platforms (e.g., AWS, Snowflake, Google Cloud).
• Proficient in querying and manipulating data using SQL, Python, Excel, and cloud‑native tools.
• Experience with data visualization tools such as Qlik, Looker, and Tableau.
• Experience with predictive analytics and machine learning is a plus.

This role is based in our Columbus, OH office. A reasonable rate of compensation for this position is $120,000 per year.

Mid‑Senior level

Full‑time

Information Technology

Utilities