Data Steward

We are seeking an experienced Data Steward; the desired candidate will collaborate closely with engineers, architects, and business stakeholders to ensure that data is properly managed, secured, and efficaciously available for a multitude of purposes. This role will be central in ensuring the consistency, accuracy, and accessibility of data across the organization.

Key Responsibilities:

• Data Governance & Management:
• Develop, implement, and maintain data governance policies, standards, and procedures to ensure data accuracy, consistency, and security within the enterprise data warehouse.
• Manage and document metadata, data lineage, and data dictionary to ensure stakeholders have clarity on data sources, transformations, and uses.
• Collaborate with stakeholders to define data quality rules and KPIs that ensure the reliability of the data.
• Data Quality Assurance:
• Perform regular audits and assessments of data quality, working proactively to resolve any issues related to data integrity, duplication, or inconsistency.
• Develop and maintain data validation processes and monitor adherence to data quality standards.
• Identify data discrepancies and work with engineering and IT teams to troubleshoot and resolve them.
• Collaboration & Communication:
• Serve as the primary point of contact between business units and engineering teams for data-related initiatives, translating business requirements into technical specifications.
• Educate and train stakeholders on best practices for data management, including data classification, data lifecycle, and regulatory compliance.
• Work closely with data engineers, data architects, and analysts to ensure that the enterprise data warehouse infrastructure supports business goals and operational needs.
• Data Security & Compliance:
• Ensure that enterprise data infrastructure complies with relevant regulatory requirements, including data privacy and internal security policies.
• Collaborate with engineering and security teams to develop and implement protocols for data access controls and audit logs.
• Continuous Improvement:
• Monitor emerging trends and technologies in data management and data warehousing and recommend improvements to systems and processes.
• Proactively identify opportunities for automation, process improvement, and increased data utilization.

Qualifications:

• Bachelor’s degree in Information Systems, Data Management, Information Science, Computer Science, or a related field.
• 3+ years of experience in data governance, data quality management, or data stewardship, preferably in an enterprise data warehousing environment.
• Strong understanding of data warehousing concepts, including ETL processes, data modeling, and relational databases.
• Experience working with data management tools (e.g., Collibra, Informatica, Alation) and data warehouse platforms (e.g., Snowflake, AWS Redshift, Google BigQuery).
• Excellent communication skills, with the ability to work cross-functionally with both technical and non-technical teams.
• Strong problem-solving skills and the ability to manage multiple projects simultaneously.
• Familiarity with regulatory frameworks related to data privacy and security.
• Experience with SQL and data querying tools is preferred.

Desired Skills:

• Familiarity with cloud-based data storage and computing environments.
• Certifications in data management or data governance frameworks (e.g., DAMA, DCAM) are a plus.
• Strong analytical mindset with the ability to synthesize complex data issues into actionable insights.