Principal Enterprise Data Quality Analyst

Location: Santa Ana, California, USA

Salary: $129,300–$172,300 annually

Company

hirify.global is an established company focused on enterprise data, financial, risk, and governance-related operations.

What you will do

• Build and maintain the enterprise data quality operating model, including dimensions, rule standards, scoring methods, controls, procedures, playbooks, and adoption routines.
• Identify Critical Data Elements, authoritative sources, business definitions, quality thresholds, monitoring needs, and accountability with Data Owners and Data Stewards.
• Profile, validate, reconcile, and analyze data across source systems, integrations, pipelines, reports, and downstream use.
• Define and monitor data quality rules, KPIs, KRIs, dashboards, scorecards, exception reporting, and threshold breaches.
• Operate issue intake, triage, impact analysis, escalation, remediation tracking, retesting, and root-cause analysis with technical and business stakeholders.
• Embed quality gates into projects, system changes, reporting initiatives, data products, integrations, pipeline design, and release management.

Requirements

• Bachelor’s degree in information systems, data analytics, computer science, business, finance, mathematics, statistics, engineering, or a related field, or equivalent practical experience.
• At least 5 years of experience in data quality, data governance, enterprise data management, analytics, BI, data engineering, business analysis, metadata, stewardship, or related data-focused roles.
• At least 3 years of hands-on experience defining, measuring, monitoring, profiling, validating, reconciling, or improving data quality in complex enterprise environments.
• Strong SQL skills and experience investigating data issues across source systems, transformations, integrations, pipelines, reports, and downstream consumption.
• Knowledge of Critical Data Elements, data quality rules, profiling, validation, completeness, accuracy, consistency, timeliness, uniqueness, controls, exception handling, issue management, remediation, and root-cause analysis.
• Strong facilitation, communication, documentation, stakeholder management, and influencing skills in federated or matrixed environments.

Nice to have

• Experience building or maturing enterprise data quality, governance, stewardship, or data management capabilities.
• Experience in financial services, lending, mortgage, servicing, risk, finance, customer data, healthcare, insurance, or another regulated data domain.
• Experience with Informatica, Collibra, Microsoft Purview, Unity Catalog, Tableau, Power BI, Jira, ServiceNow, or similar platforms.
• Experience with data warehouses, data lakes, lakehouse platforms, ETL/ELT pipelines, cloud data platforms, APIs, integrations, and enterprise reporting.
• Familiarity with DAMA-DMBOK, DCAM, CDMP, Critical Data Element frameworks, data stewardship models, or data governance operating models.

Culture & Benefits

• Inclusive, people-first workplace focused on employee support, individuality, and innovation.
• Medical, dental, and vision coverage based on eligibility.
• 401(k), paid time off, and paid sick leave.
• Employee stock purchase plan and additional benefits.
• Equal opportunity employment practices.