Data Quality Specialist (Microsoft Purview Experience Required)

Philippines·Pasig CityFull-timemid

Manufacturing & ProductionQuality Manager

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Quick Summary

Overview

Work Setup: ONSITE (Pasig) Work Schedule: AU DAYSHIFT Australian Mortgage Lender is seeking a technically skilled Data Quality Specialist to join our Manila team. This role will focus on diagnosing,

Technical Tools

Manufacturing & ProductionQuality Manager

Responsibilities

~1 min read

→Conduct root cause analysis of data quality issues across our technology stack (Salesforce, SQL Server, loan servicing systems)
→Develop SQL queries to investigate and validate data integrity throughout the pipeline
→Implement improved data validation controls and automated quality checks
→Set up and configure data governance frameworks in Microsoft Purview (or similar tool) for monitoring and compliance
→Collaborate on the development of data quality metrics, thresholds, and scoring systems to measure and track quality
→Establish automated monitoring processes to proactively identify issues
→Collaborate with engineers to implement technical solutions for data quality problems
→Document data lineage, transformation logic, and system integration points
→Conduct regular data quality assessments and report to stakeholders Technical Skills
→Advanced SQL (SQL Server preferred)
→Salesforce data structures
→Microsoft Purview or similar tools
→ETL processes and data integration
→Data quality frameworks Key Success Attributes
→Investigative mindset with deep analytical skills
→Process-oriented approach to designing scalable solutions
→Proactive identification of systemic issues
→Strong cross-functional collaboration
→Detail-oriented with exceptional thoroughness

Bachelor’s degree in computer science, Information Technology, Data Engineering or related field
3+ years in data analysis, governance, or quality roles
Advanced SQL skills
Experience with Salesforce data structures, validation rules, and triggers
Experience with Microsoft Purview or similar data governance tools
Demonstrated ability in root cause analysis and data quality framework implementation
Knowledge of data quality dimensions and metrics development
Experience with ETL processes and data integration concepts
Strong communication skills to translate technical findings for business stakeholders
Attention to detail
Analytical skills
Communication skills
Problem-solving