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.