Data Governance Specialist, Freelance

Infomineo

Data Governance Specialist working on data governance frameworks and quality projects for clients at Infomineo. Collaborating with teams to embed governance practices across the full data lifecycle.

Posted 6/16/2026full-timeRemote • 🇪🇬 EgyptMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureBigQueryCloudETLInformaticaPythonSQLVault

About the role

Key responsibilities & impact

Design, implement, and operationalize data governance frameworks across client engagements, covering the following areas:
**DATA GOVERNANCE & POLICY**
Define and implement data governance frameworks, policies, and standards tailored to client environments.
Establish data ownership, stewardship models, and accountability structures across business and technical teams.
Develop and maintain data dictionaries, business glossaries, and classification taxonomies.
Ensure compliance with data regulations and internal data management policies (GDPR, BCBS 239, etc.).
**DATA QUALITY & LINEAGE**
Design and implement data quality rules, profiling routines, and monitoring dashboards.
Investigate and remediate data quality issues across structured and unstructured data sources.
Map and document end-to-end data lineage to support auditability and impact analysis.
Define and track data quality KPIs and SLAs in collaboration with data owners.
**METADATA & CATALOGUING**
Deploy and administer data catalog and metadata management tools (e.g. Informatica, Collibra, Alation, Microsoft Purview).
Enrich metadata assets with business context, ownership, sensitivity classification, and usage information.
Drive adoption of the data catalog across business and technical teams.
**TOOLING & INTEGRATION**
Configure and operate data governance platforms, primarily Informatica (IDMC, Axon, EDC, DQ) and equivalent tools.
Integrate governance tooling with existing data pipelines, warehouses, and BI environments.
Automate data quality checks and governance workflows within ETL/ELT pipelines.
**OTHER**
Provide internal training and knowledge-sharing sessions on data governance best practices.
Support the Team Lead/Manager on client relationships, business development, and internal projects.

Requirements

What you’ll need

Master’s degree in a relevant field such as Computer Science, Information Systems, Data Management, Statistics, or Applied Mathematics.
Full proficiency in English + 1 additional language (French, Arabic, Spanish, German...).
3 to 6 years of experience in data governance, data management, or data engineering with a strong governance focus.
Experience working in a consulting, financial services, or multi-client environment is a plus.
Proven hands-on experience with Informatica (IDMC / Intelligent Data Management Cloud, Axon Data Governance, Enterprise Data Catalog, Data Quality).
Experience with other governance and cataloguing platforms such as Collibra, Alation, Ataccama, or Microsoft Purview.
Familiarity with data quality tools: Great Expectations, Monte Carlo, Soda, or equivalent.
Solid experience with SQL for data profiling, querying, and quality rule implementation across relational databases and data warehouses (Snowflake, BigQuery, Synapse, Redshift).
Experience in Python for automating data quality checks, metadata extraction, and governance workflows.
Understanding of ETL/ELT pipelines and ability to embed governance controls within them (dbt, Airflow, Informatica PowerCenter/IDMC).
Good understanding of data platform architectures: data lake, lakehouse, and data warehouse environments.
Familiarity with cloud platforms and their native governance services: Azure Purview, AWS Glue Data Catalog, Google Dataplex.
Understanding of data modelling concepts and their impact on governance (dimensional modelling, data vault, etc.).
Knowledge of data governance frameworks and standards: DAMA-DMBOK, BCBS 239, GDPR, ISO 8000.
Experience defining and applying data classification schemes (sensitivity labels, PII tagging, retention policies).
Exposure to master data management (MDM) concepts and tools is a plus.
Ability to engage and influence both technical teams and business stakeholders on data governance topics.
Strong analytical mindset with the ability to diagnose data quality issues and translate them into actionable remediation plans.
Good communication skills with the ability to document governance frameworks clearly and present findings to senior audiences.
Detail-oriented, rigorous, and comfortable working across multiple client contexts simultaneously.

Benefits

Comp & perks

Health insurance benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data governancedata managementdata engineeringSQLPythonETLdata qualitydata modelingdata classificationmetadata management

Soft Skills

analytical mindsetcommunication skillsdetail-orientedability to engage stakeholdersinfluence technical teamstraining and knowledge sharingcollaborationproblem-solvingrigorousmulti-client management