Data Quality Expert

Develop and lead the implementation of enterprise-level data quality standards, policies, and procedures.
- Oversee data quality assessments, audits, and profiling to identify issues, root causes, and improvement opportunities.
- Collaborate with data stewards, data architects, and business stakeholders to establish data quality metrics and KPIs.
- Design and implement robust data cleansing, enrichment, and validation strategies across diverse data sources and platforms.
- Monitor and report on data quality performance, ensuring transparency and accountability throughout the organization.
- Evaluate and integrate data quality tools, technologies, and automation solutions to enhance efficiency and accuracy.
- Provide expert guidance and training to teams on data quality best practices, methodologies, and regulatory compliance.
- Lead cross-functional initiatives to address complex data quality challenges and drive continuous improvement.
- Ensure alignment of data quality efforts with overall data governance and business objectives.
- Stay current with industry trends, emerging technologies, and evolving regulatory requirements to maintain excellence in data quality practices.

**Personal Skills**:
**Data Quality Frameworks and Standards**:
Deep understanding of frameworks for data quality assessment, monitoring, and improvement.**Data Profiling and Assessment Tools**:
Proficiency with data profiling, auditing, and lineage tracking tools (e.g., Collibra, Informatica Data Quality).**Root Cause Analysis**:
Ability to identify, analyze, and resolve underlying causes of data quality issues.**Data Cleansing and Enrichment**:
Expertise in designing and implementing data cleansing, standardization, and enrichment processes.**SQL and Scripting Languages**:
Strong command of SQL and possibly Python or R to query, analyze, and transform data.**Data Governance and Compliance**:
Familiarity with governance frameworks, regulatory standards (e.g., GDPR, CCPA), and compliance best practices.**ETL/ELT Processes**:
Experience with ETL/ELT tools and techniques to integrate and maintain data quality in data pipelines.**Performance Measurement**:
Skill in defining and tracking data quality metrics, KPIs, and performance dashboards.**Communication and Collaboration**:
Excellent communication and interpersonal skills to work effectively with stakeholders, data stewards, and technical teams.**Continuous Improvement Mindset**:
Commitment to staying updated with industry trends, best practices, and emerging technologies to continually enhance data quality initiatives.

**Technical Skills**:
Data Quality Tools: Proficiency with industry-standard data quality and profiling tools (e.g., Informatica Data Quality, Talend Data Quality, Collibra).SQL and Database Querying: Advanced SQL skills to query databases, identify anomalies, and perform complex data transformations.

Scripting and Programming: Familiarity with scripting languages (e.g., Python, R) for data cleansing, enrichment, and automation tasks.

ETL/ELT Tools: Experience with ETL/ELT platforms (e.g., Informatica, Talend, AWS Glue) to implement data quality rules and workflows.

Metadata Management: Ability to leverage metadata repositories and data catalogs to maintain data lineage and track data quality improvements.

Big Data and Cloud Platforms: Knowledge of big data ecosystems (Hadoop, Spark) and cloud environments (AWS, Azure, GCP) for scalable data quality solutions.

Data Governance Technologies: Familiarity with governance platforms and frameworks to ensure alignment of data quality initiatives with organizational standards.

Version Control and CI/CD: Experience using Git, Jenkins, or similar tools to manage code, automate deployments, and streamline data quality integrations.

Data Visualization: Skill in creating dashboards and visualizations (e.g., Tableau, Power BI) to communicate data quality metrics and trends.

APIs and Integration Technologies: Ability to use APIs, RESTful services, or messaging systems (e.g., Kafka) for seamless data integration and quality checks.

**Job Details**:
Job Location

Riyadh, Saudi Arabia

Company Industry

IT Services

Company Type

Employer (Private Sector)

Job Role

Engineering

Job Division

CTO

Career Level

Management

Degree

Bachelor's degree