Data Quality Architect

Public Consulting Group

140d • $125,500 - $138,700

About The Position

This role leads cross-functional efforts to establish and mature enterprise data quality practices as part of broader data governance initiatives. It focuses on implementing standards, rules, and monitoring to ensure data is accurate, consistent, complete, and trusted across systems. The position partners closely with security, compliance, and application owners to address integrity gaps, support stewardship, and drive continuous quality improvement. It also promotes data literacy and fosters a quality-first culture through training and strategic engagement.

Requirements

• Proficiency with data governance processes, tools, and frameworks (e.g., DAMA, DMBOK).
• Knowledge of data privacy regulations (e.g., GDPR, CCPA) and best practices.
• Familiarity with data classification, access control, and data security principles.
• Experience in documenting data dictionaries, metadata, and data lineage.
• Experience in implementing data quality controls, data audits, and remediation plans.
• Excellent analytical and problem-solving skills with keen attention to detail.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Ability to handle multiple tasks and priorities in a fast-paced environment.

Nice To Haves

• Certifications in data governance or data management (e.g., DGSP, CDMP) are a plus.

Responsibilities

• Leads the Data Quality Workgroup, with a strong focus on data quality frameworks.
• Provides input and strategic recommendations to mature data quality posture across domains and systems.
• Collaborates with cross-functional teams and the COO team to define and implement data quality best practices, standards, metrics, and controls.
• Ensures accuracy, consistency, completeness, integrity, and trust in enterprise data assets through data quality rules and monitoring processes.
• Partners with Enterprise Architecture to establish and maintain clear ownership, stewardship, and accountability structures across corporate data systems.
• Designs and operationalizes processes that ensure data completeness and validity across systems and integrations.
• Works with functional application owners, InfoSec, and GRC to implement controls and safeguards that ensure ongoing data integrity.
• Leads data integrity gap analyses and facilitates remediation strategies.
• Assesses existing data infrastructure to identify opportunities for improving data quality in SaaS platforms and enterprise systems.
• Recommends scalable solutions that deliver accurate, complete, and timely information.
• Conducts proactive and reactive data quality reviews, identifying anomalies, missing values, duplication, and other issues.
• Develops and manages remediation plans, including root cause analysis and continuous quality improvement efforts.
• Contributes to governance and architecture forums to ensure cohesive management of data quality.
• Promotes data literacy and stewardship, building a quality-first culture by developing training, onboarding, and awareness programs.
• Stays current with industry best practices and emerging technologies in data quality management.

Benefits

• Medical and dental care benefits
• 401k
• PTO
• Parental leave
• Bereavement leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees