Data Quality Engineer

Amphenol TPC Wire & Cable; Macedonia (OH); On-site; USD 70,000 - 90,000; Full time

Job summary

Amphenol TPC Wire & Cable seeks a Data Quality Engineer to implement and improve data quality across business domains. This role is key to ensuring data accuracy and usability within enterprise systems like ERP and CRM, significantly enhancing operational efficiency.

The ideal candidate should possess a Bachelor's Degree in IT or related fields, have 3-5 years of relevant experience, and strong skills in SQL and data validation.

Qualifications

• 3-5 years of experience in data quality, data engineering, or analytics roles.
• Ability to operate independently in a distributed team environment.
• Experience working with data governance and metadata management tools.

Responsibilities

• Implement and maintain data quality rules aligned with business processes.
• Monitor and ensure data quality across ISO-8000 standards.
• Partner with stakeholders for data quality ownership and governance.

Skills

SQL for data analysis and validation

Analytical and problem-solving skills

Data pipelines and transformation tools

Strong communication skills

Relational data modeling concepts

Education

Bachelor’s Degree in Information Technology, Computer Science, Data Analytics, or related field

Tools

Azure Data Factory

Microsoft Purview

Power BI

Job description

Data Quality Engineer owns the implementation and continuous improvement of data quality across critical business domains. The role ensures data is accurate, consistent, and usable across enterprise systems including ERP, CRM, analytics platforms, and customer-facing applications, while reducing operational inefficiencies and improving trust in data.

Key Responsibilities

• Define, implement, and maintain data quality rules aligned to business processes and use cases.
• Monitor data quality across core ISO-8000 data quality standards (i.e. completeness, accuracy, consistency, validity, uniqueness, referential integrity, and timeliness).
• Design and implement data quality monitoring and alerting to proactively identify issues as they arise, with a focus on reducing recurring data issues, manual corrections, and downstream operational impacts.
• Perform root cause analysis on data issues across source systems, pipelines, and downstream applications.
• Own cross-system data quality validation, ensuring data integrity is enforced at ingestion, transformation, and load stages
• Partner with business stakeholders and technical teams to establish and steward accountability for data ownership, business definitions, and quality expectations across enterprise systems.
• Design and support remediation workflows to ensure timely resolution of data quality issues with clear ownership and resolution SLAs.
• Support implementation of data classification standards (e.g., PII, sensitive data) in alignment with GDPR, CCPA, applicable regulatory requirements and AI initiatives.
• Leverage Microsoft Purview to improve visibility into data lineage, definitions, ownership, and classification.
• Define and track data quality KPIs; report regularly on quality trends, issue resolution rates, and business impact to leadership and governance stakeholders

Required Qualifications

• Bachelor’s Degree in Information Technology, Computer Science, Data Analytics, or a related field.
• Minimum of 3-5 years of experience in data quality, data engineering, data governance, or analytics roles.
• Strong proficiency in SQL for data analysis and validation.
• Experience working with data pipelines and transformation tools (Azure Data Factory preferred).
• Strong analytical and problem-solving skills, with the ability to diagnose data issues across systems.
• Strong communication skills, with the ability to work effectively with both technical and non-technical stakeholders.
• Ability to translate business needs into practical data quality solutions.
• Ability to operate independently with limited day-to-day supervision in a distributed team environment.
• Solid understanding of relational data modeling concepts, including entity relationships, normalization, and schema design across systems.

Preferred Qualifications

• Experience working in commercial, distribution, and/or light manufacturing environments.
• Experience with data governance and metadata management tools (e.g., Microsoft Purview, Collibra, Alation, Informatica)
• Familiarity with master data management concepts (Customer and Product domains).
• Experience implementing data quality frameworks or working with standards such as DAMA-DMBOK or ISO-8000.
• Exposure to CRM (Salesforce, HubSpot) and/or ERP (Epicor).
• Experience supporting analytics platforms such as Power BI.
• Data-driven problem solving in an enterprise environment.
• Cross-functional collaboration.
• Stakeholder engagement and influence.
• Process improvement and operational efficiency.

TPC Wire & Cable is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. This job description is not intended to list all responsibilities; duties may evolve as business and market needs change.