Sr Data Quality Engineer

Job Summary

We are seeking a Senior Data Quality Engineer to support enterprise-wide data governance and data quality initiatives. This role will be responsible for designing, implementing, and optimizing data quality management solutions, governance workflows, and monitoring frameworks across modern cloud-based data platforms.

Key Responsibilities

• Data Quality Engineering & Monitoring
• Design, implement, and maintain automated data quality checks, validation rules, monitoring frameworks, and remediation processes across multiple systems and datasets.
• Configure, support, and optimize data quality platforms, including Anomalo and related governance technologies.
• Develop data quality metrics, dashboards, and reporting to measure and communicate data health.
• Governance & Metadata Management
• Support enterprise data governance initiatives through metadata management, data cataloging, stewardship, and governance workflows.
• Partner with stakeholders to define governance requirements for critical data elements and prioritize remediation efforts.
• Create documentation, standards, and recommendations to improve data quality and governance maturity.
• Platform Development & Automation
• Build lightweight applications, prototypes, dashboards, and automation solutions using Python, SQL, Streamlit, Databricks, and related technologies.
• Develop and maintain custom integrations and connectors supporting governance and quality platforms.
• Support platform operations, enhancements, and continuous improvement initiatives.
• Collaboration & Adoption
• Collaborate with business, data, and technology teams to drive adoption of data governance and quality tools.
• Conduct training sessions, roadshows, onboarding workshops, and user enablement activities.
• Participate in Agile ceremonies, backlog refinement, sprint planning, and delivery activities.

Required Qualifications

• Education: Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field.
• Experience: 5+ years of professional experience in data engineering, data quality, or data governance roles. 2+ years of experience supporting enterprise data governance and data quality initiatives.
• Technical Skills: Hands-on experience with data governance and data quality platforms such as Anomalo, Atlan, Unity Catalog, or similar tools. Strong SQL and Python development skills. Experience implementing data quality frameworks, monitoring, remediation, and governance processes. Knowledge of metadata management, data cataloging, stewardship, and data lineage concepts. Experience with Databricks and modern cloud data platforms. Understanding of security and authentication patterns, including AWS Secrets Manager. Backend development experience including PostgreSQL, data modeling, query optimization, indexing, and connection pooling. Familiarity with software development best practices including SDLC, CI/CD, automated testing, and deployment management.

Preferred Experience

• Supporting cloud migration, data modernization, or enterprise data transformation initiatives.
• Exposure to AI-enabled governance and data quality solutions.
• Experience leveraging tools such as ChatGPT, Claude, and other AI platforms for workflow automation, research, prototyping, and documentation.
• Experience building Streamlit applications and data quality dashboards.