Data Governance Engineer- GLN

Exp required 7+ yrs with data governance informatica tool

1. Data Governance Framework Development

   • Develop, implement, and maintain data governance frameworks, policies, and standards to ensure high-quality, consistent, and secure data across the organization.
   • Collaborate with business units and stakeholders to define and enforce data governance policies, ensuring alignment with business goals and regulatory requirements.

2. Data Quality Management

   • Define and enforce data quality standards, monitoring key data quality metrics.
   • Identify, analyze, and resolve data quality issues across various data sources and platforms.
   • Work with cross-functional teams to implement data quality improvement initiatives.

3. Data Lineage & Metadata Management

   • Implement and maintain data lineage and metadata management solutions to ensure visibility and traceability of data throughout its lifecycle.
   • Work with data architects and engineers to establish and document data flows, transformations, and dependencies.

4. Data Security & Compliance

   • Ensure that data governance practices comply with relevant regulatory requirements (e.g., GDPR, CCPA, HIPAA).
   • Implement data security controls to protect sensitive data and manage access to sensitive information.

5. Stakeholder Collaboration

   • Partner with data architects, data engineers, data scientists, and business analysts to ensure alignment between technical and business needs for data governance.
   • Provide training and support for teams on data governance policies, best practices, and tools.

6. Data Governance Tools & Technologies

   • Lead the implementation and optimization of data governance tools and platforms.
   • Continuously evaluate emerging tools and technologies to improve data governance processes.

7. Reporting & Documentation

   • Develop and maintain comprehensive data governance documentation and reports.
   • Provide regular updates to senior management on the status of data governance initiatives, risks, and areas of improvement.

• Experience

  • 7+ years of experience in data governance, data management, or related fields.
  • Proven track record in implementing data governance frameworks and policies at an enterprise level.
  • In-depth knowledge of data governance concepts, including data quality, data lineage, metadata management, and data security.

• Technical Skills

  • Experience with data governance tools such as Collibra, Informatica, Alation, or similar.
  • Strong understanding of databases, data warehousing, and big data platforms (e.g., Hadoop, Spark).
  • Familiarity with data integration, ETL processes, and data modeling.
  • Proficiency in SQL and other scripting languages (e.g., Python, Shell).

• Regulatory Knowledge

  • Solid understanding of data privacy and compliance regulations (GDPR, CCPA, HIPAA, etc.).
  • Ability to assess and mitigate compliance risks related to data handling.

• Soft Skills

  • Excellent communication and interpersonal skills.
  • Strong problem-solving skills and the ability to collaborate across teams.
  • Ability to manage multiple projects and deadlines in a fast-paced environment.

Exp required 7+ yrs with data governance informatica tool

1. Data Governance Framework Development

   • Develop, implement, and maintain data governance frameworks, policies, and standards to ensure high-quality, consistent, and secure data across the organization.
   • Collaborate with business units and stakeholders to define and enforce data governance policies, ensuring alignment with business goals and regulatory requirements.

2. Data Quality Management

   • Define and enforce data quality standards, monitoring key data quality metrics.
   • Identify, analyze, and resolve data quality issues across various data sources and platforms.
   • Work with cross-functional teams to implement data quality improvement initiatives.

3. Data Lineage & Metadata Management

   • Implement and maintain data lineage and metadata management solutions to ensure visibility and traceability of data throughout its lifecycle.
   • Work with data architects and engineers to establish and document data flows, transformations, and dependencies.

4. Data Security & Compliance

   • Ensure that data governance practices comply with relevant regulatory requirements (e.g., GDPR, CCPA, HIPAA).
   • Implement data security controls to protect sensitive data and manage access to sensitive information.

5. Stakeholder Collaboration

   • Partner with data architects, data engineers, data scientists, and business analysts to ensure alignment between technical and business needs for data governance.
   • Provide training and support for teams on data governance policies, best practices, and tools.

6. Data Governance Tools & Technologies

   • Lead the implementation and optimization of data governance tools and platforms.
   • Continuously evaluate emerging tools and technologies to improve data governance processes.

7. Reporting & Documentation

   • Develop and maintain comprehensive data governance documentation and reports.
   • Provide regular updates to senior management on the status of data governance initiatives, risks, and areas of improvement.

• Experience

  • 7+ years of experience in data governance, data management, or related fields.
  • Proven track record in implementing data governance frameworks and policies at an enterprise level.
  • In-depth knowledge of data governance concepts, including data quality, data lineage, metadata management, and data security.

• Technical Skills

  • Experience with data governance tools such as Collibra, Informatica, Alation, or similar.
  • Strong understanding of databases, data warehousing, and big data platforms (e.g., Hadoop, Spark).
  • Familiarity with data integration, ETL processes, and data modeling.
  • Proficiency in SQL and other scripting languages (e.g., Python, Shell).

• Regulatory Knowledge

  • Solid understanding of data privacy and compliance regulations (GDPR, CCPA, HIPAA, etc.).
  • Ability to assess and mitigate compliance risks related to data handling.

• Soft Skills

  • Excellent communication and interpersonal skills.
  • Strong problem-solving skills and the ability to collaborate across teams.
  • Ability to manage multiple projects and deadlines in a fast-paced environment.