Data Quality Specialist (Informatica IDMC)

Experience: 4–7 years

Primary platform: Informatica IDMC – Cloud Data Quality (CDQ), Cloud Data Profiling, Cloud Data Integration, CDGC

Works closely with: Data Governance & Privacy Specialist, MRDM Specialist, Business Data Owners and Stewards, Source System Teams

Location: Doha, Qatar

Role Purpose

The role holder implements and runs the data quality framework on Informatica IDMC. The focus is on profiling data, building and operating DQ rules, measuring quality against agreed targets for Critical Data Elements, and driving root-cause remediation with business and IT teams to improve quality at the source.

Key ResponsibilitiesData Quality Framework

• Implement the DQ framework based on standard dimensions (completeness, validity, accuracy, consistency, uniqueness, timeliness).

• With the Data Governance & Privacy Specialist and data owners, agree DQ requirements, targets, alert thresholds, and escalation paths for Critical Data Elements.

Rule Design & Build

• Profile data using Cloud Data Profiling to identify anomalies, patterns, and outliers, and turn findings into rule requirements.

• Build reusable CDQ assets: rule specifications, cleanse, parse, standardize, deduplicate, labeler, and verifier (address/contact) assets.

• Operationalize DQ rules through Cloud Data Integration mappings and taskflows, with scheduling, parameterization, and exception handling.

• Maintain a documented, version-controlled DQ rule library and promote rules through dev, test, and production.

Monitoring & Reporting

• Publish rule occurrences and DQ scores to CDGC so that quality is visible against glossary terms and CDEs.

• Build and maintain DQ scorecards and dashboards (CDGC and Power BI) for stewards, data owners, and management.

Issue Management & Remediation

• Manage the DQ issue log: triage, root-cause analysis, remediation plans with data owners, and tracking to closure.

• Route exceptions to data stewards and work with source system teams to fix issues at the point of capture.

• Support MDM readiness (cleansing before matching) and data migration quality checks.

• Plan and execute DQ testing in SIT and UAT for each release, including regression tests for existing rules.

Experience & Technical Requirements (Must Have)

• 4–7 years of experience in data management, with at least 3 years focused on data quality.

• At least 2 years of hands-on experience with Informatica IDMC Cloud Data Quality and Cloud Data Profiling, including at least one end-to-end implementation taken to production.

• At least 2 years of hands-on ETL/ELT experience, including building Cloud Data Integration mappings and taskflows with scheduling, parameterization, and exception handling to run DQ rules in production.

• Strong SQL for profiling, validation, and reconciliation.

• Good knowledge of DQ dimensions, DQ frameworks, and root-cause analysis techniques.

• Experience building DQ dashboards in Power BI or a similar BI tool.

• Working experience with CDGC, including linking DQ rules and scores to glossary terms and Critical Data Elements.

Desirable

• Experience with on-premises Informatica Data Quality (IDQ) and migration to CDQ.

• Experience integrating DQ results with MDM SaaS.

• Python for data analysis or automation.

• Awareness of ISO 8000 and DAMA-DMBOK data quality practices.

• English is a must; Arabic language skills are an advantage.

Qualifications & Certifications

• Bachelor’s degree in Computer Science, Information Technology, Statistics, or a related discipline.

• Preferred: Informatica IDMC certification in Cloud Data Quality.

• Advantageous: DAMA CDMP (Associate or Practitioner); Lean Six Sigma Green Belt.

Behavioural Competencies

• Stakeholder engagement: able to work with business data owners, IT, security, legal and audit, and explain data topics in plain business language.

• Structured and documented: produces clear specifications, standards, runbooks and decision records.

• Delivery mindset: comfortable in Agile/Scrum delivery with defined sprints, SIT/UAT cycles and go-live support.

• Ownership: works independently, raises risks early and follows issues through to closure.

Work Location: Remote