Dynatrace’s Business Intelligence team is seeking a dynamic and experienced Data Quality Lead to help drive data quality initiatives and establish a data-driven culture. The role will focus on ensuring the reliability, accuracy, completeness, and consistency of data across the organization. The Data Quality Lead will work closely with Data Governance and BI teams to develop and refine Data Quality frameworks, ensuring that quality metrics are enforceable and practical.
Data Quality Framework
Develop and implement data quality frameworks, policies, and monitoring processes using tools like Snowflake, dbt, and Power BI
Define data quality roles & responsibilities across business functional teams
Automation and Tooling
Design and implement automated data quality checks, validation rules, and testing frameworks.
Evaluate and recommend data quality tools to enhance monitoring and resolution
Issue Resolution
Identify data quality challenges and proactively mitigate issues
Partner with team members to perform root-cause analysis and coordinate remediation effort
Collaboration
Align with Data Governance, BI, and cross-functional teams to communicate data quality processes and best practices
Partner with Data Owners and Stewards to capture data quality check requirements
Act as a data quality ambassador across business units
KPI & Reporting:
Define, monitor, and report on data quality KPIs
Present findings and propose improvement areas to stakeholders
Training & Documentation:
Document data quality processes from identification to resolution
Develop and deliver training for System Admins, Data Owners, and Data Stewards
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