What are the responsibilities and job description for the BN32P4-Data Management Engineer position at CAS?
Job Description
- 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 team
- 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
Salary : $120,000