Job Description - Data Governance Data Quality Consultant (Ataccama Collibra)

Role Overview

We are seeking a Data Governance Data Quality Consultant with hands-on experience in Ataccama and Collibra to design, implement, and manage enterprise-wide data governance and data quality initiatives. The ideal candidate will possess strong technical expertise in data quality management, metadata management, data lineage, cataloging, and governance operating models, along with the ability to engage business stakeholders and translate governance requirements into technology-enabled solutions.

Key Responsibilities

Data Quality (Ataccama)

- Design, develop, and implement data quality solutions using Ataccama ONE (v14+) and Ataccama Desktop .
- Build and manage:
- Data profiling projects
- Data quality rules and controls
- Data monitoring dashboards
- Data transformations and remediation workflows
- Data quality scorecards and KPI reporting

- Configure and manage Ataccama plans, workflows, scheduling, and orchestration processes.
- Perform root cause analysis of data quality issues and drive remediation activities.
- Establish and maintain enterprise data quality frameworks, standards, and controls.
- Collaborate with business and technical teams to define data quality requirements and acceptance criteria.

Data Governance (Collibra)

- Configure and administer Collibra Data Intelligence Platform components including:
- Data Catalog
- Business Glossary
- Data Lineage
- Data Governance Center
- Data Stewardship workflows

- Develop and maintain governance artifacts including:

- Business glossaries
- Data dictionaries
- Data ownership and stewardship models
- Data policies and standards

- Support implementation of governance operating models, stewardship processes, and data governance councils.
- Define and manage metadata management processes and governance controls.
- Enable data lineage visibility across enterprise systems and data platforms.
- Drive adoption of governance tools and best practices across business and technology teams.

Data Management Engineering





- Conduct data analysis, reconciliation, and validation across multiple source systems.
- Collaborate with data engineering teams to integrate governance and data quality controls into data pipelines.
- Support implementation of governance and quality controls across cloud and modern data platforms.
- Analyze and interpret data models and relationships for governance and quality initiatives.
- Work with ETL/ELT processes and data integration solutions.

Stakeholder Engagement

- Partner with data owners, data stewards, business users, architects, and engineering teams.
- Facilitate workshops to define business terms, critical data elements (CDEs), data ownership, and quality rules.
- Produce governance and quality reporting for leadership and regulatory requirements.
- Provide guidance and training on data governance and data quality best practices.

Required Skills Experience

Ataccama

- 4-7+ years of experience in Data Quality and Data Governance initiatives.
- Minimum 3-5 years of hands-on experience with Ataccama .
- Experience with Ataccama ONE v14+ .
- Strong understanding of:
- Data profiling
- Data quality rule development
- Monitoring projects
- Data transformations
- Workflow development
- Plans and plan components
- Scheduling and orchestration
- Metadata management concepts
- Data quality frameworks

Collibra

- Hands-on experience with Collibra Data Intelligence Platform .
- Experience implementing:
- Business Glossaries
- Data Catalogs
- Data Lineage solutions
- Governance workflows
- Stewardship models

- Strong understanding of metadata management and governance operating models.




- Experience configuring governance workflows and role-based governance structures.

SQL Data Management

- Strong SQL development and troubleshooting skills.
- Good understanding of:
- Relational databases
- Data modelling concepts
- Master Data Management (MDM)
- Metadata management
- Data lineage concepts

- Experience validating and reconciling data across multiple sources.
- Familiarity with ETL/ELT pipelines and modern data architectures.

Source Control DevOps

- Experience with Git and version control best practices.
- Exposure to CI/CD, deployment processes, and release management.

Cloud Data Platforms

- Experience with cloud-based data platforms.
- Exposure to:
- Azure Databricks
- Azure SQL
- Azure Data Factory
- Snowflake (preferred)

- Understanding of enterprise data lake and modern data platform architectures.

Preferred Qualifications

- Experience implementing enterprise Data Governance programs.
- Knowledge of Data Management frameworks such as DAMA-DMBOK.
- Experience supporting regulatory and compliance initiatives.
- Exposure to AI/ML data governance frameworks.
- Insurance, Financial Services, Healthcare, or Utilities industry experience is desirable.
- Relevant certifications in:
- Collibra
- Ataccama
- Azure Data Fundamentals/Data Engineering
- DAMA/CDMP

Soft Skills

- Excellent stakeholder management and communication skills.
- Robust analytical and problem-solving capabilities.
- Ability to translate business requirements into technical solutions.
- Experience working with cross-functional and geographically distributed teams.
- Strong facilitation, documentation, and presentation skills.
- High attention to detail and commitment to data quality and governance excellence.
- Ability to work independently while managing multiple priorities in Agile delivery environments.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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