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Job Title


BN32P4-Data Management Engineer


Company : American Chemical Society


Location : Columbus, OH


Created : 2025-11-10


Job Type : Full Time


Job Description

DescriptionJob DescriptionImplement and enforce data governance best practices and policies to ensure data accuracy, consistency, and privacyAssist in defining and maintaining business-friendly data definitions across domains to support consistent understanding and usageCollaborate with data engineers and analysts to ensure data models align with data and analytics needsFacilitate the adoption of Atlan among teams to streamline data cataloging, data lineage, metadata management, and cross-functional collaborationWork closely with business leaders to identify data governance needs and implement solutions that meet regulatory and organizational standardsMentor and provide guidance to junior engineers and data professionals in best practices for data management and governanceIdentify opportunities for process improvements, automation, and efficiencies in data management workflowsManage data controls and audit processes in collaboration with data engineering and technical operations teamProactively address data-related challenges, proposing solutions that align with organizational needsIdentify and resolve data quality issuesJob SkillsProven 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 detailStrong, demonstrable knowledge of BI industry standards, Master Data Management, Data Lineage and Data EngineeringTechnical SkillsHands-on experience with Atlan or similar data management platforms (e.g., Alation, Collibra).Agile methodologies, JIRA, ConfluenceExperience with cloud-based data platforms (e.g., AWS, Snowflake, Google Cloud)Proficient in querying and manipulating data using SQL, Python, Excel and cloud-native toolsExperience with data visualization tools such as Qlik, Looker and TableauExperience with predictive analytics and machine learning is a plusThis role is based in our Columbus, OH office. A reasonable rate of compensation for this position is $120,000 per year.Equal Opportunity Employer/Protected Veterans/Individuals with DisabilitiesThis employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.EEO/Minority/Female/Disabled/Veteran