Data Engineer - Data Governance Job Description Template

Brillio is looking for a Data Engineer to join our Data Governance team and manage data governance initiatives. This role demands a focus on maintaining data quality and compliance through implementing effective data governance frameworks.

Responsibilities

  • Develop and implement data governance frameworks and policies.
  • Ensure data quality and consistency across various data sources.
  • Collaborate with cross-functional teams to enforce data governance structures.
  • Monitor and audit data processes for compliance and integrity.
  • Provide expertise in data management and data governance practices.
  • Facilitate data stewardship activities and ensure data security protocols are followed.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
  • Minimum 5 years of experience in data engineering and data governance.
  • Strong understanding of data governance principles and frameworks.
  • Experience with data quality management and data auditing.
  • Excellent communication and collaboration skills.

Skills

  • SQL
  • Python
  • ETL processes
  • Data Quality Tools
  • Data Governance Tools
  • Big Data technologies
  • Data Security
  • Compliance standards

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Frequently Asked Questions

A Data Engineer focused on Data Governance is responsible for ensuring that the data infrastructure supports compliant, reliable, and documented data processes. They implement policies and procedures to manage data environments, enhance data quality, and uphold privacy regulations. Typically, they work closely with cross-functional teams to establish data governance frameworks that support organizational data strategies.

To become a Data Engineer in Data Governance, one typically needs a strong educational background in computer science, data management, or related fields. Candidates should possess skills in big data platforms, database technologies, data warehousing solutions, and programming languages such as Python or SQL. Experience with data governance tools and frameworks, along with an understanding of regulatory standards, can be crucial to success in this role.

The average salary for a Data Engineer with a specialization in Data Governance varies depending on factors like location, experience, and company size. Generally, candidates with several years of experience and expertise in data governance frameworks can command higher salaries. Staying updated on industry trends in data management and governance can also positively impact earning potential.

A Data Engineer in Data Governance typically requires a bachelor's degree in computer science, information technology, or a related field. Advanced certifications in data governance, data engineering, or big data can be advantageous. Employers often seek candidates with experience in data modeling, metadata management, and compliance with industry data standards such as GDPR or HIPAA.

A Data Engineer in Data Governance should have technical expertise in data architecture, ETL processes, and data integration. Key responsibilities include developing and enforcing data governance principles, monitoring data quality metrics, and ensuring compliance with data security standards. Strong analytical skills, attention to detail, and effective communication abilities are essential for collaboration across teams.