Data Architect II / Data Catalog Engineer

Southern Company • Atlanta, GA

9d

About The Position

Southern Company Gas is hiring a Data Catalog Engineer for its Data Management team. The role engages stakeholders across business and technology units within Gas Technology Solutions and the Gas Enterprise Data and Governance (EDGE) organization.

The associate will design, implement, and maintain the data catalog, machine-learning repositories, and AI catalog to support effective data asset management and self-service capabilities. The role administers and optimizes enterprise data catalog and metadata-management platforms; integrates them with enterprise data ecosystems; and develops and governs metadata, data dictionaries, business glossaries, and governance artifacts. It also supports metadata harvesting, data classification, lineage discovery, governance workflows, and catalog administration through automated processes.

The Data Catalog Engineer performs end-to-end data lineage and impact analysis to support compliance, change management, and root-cause analysis. The role partners with engineering, analytics, architecture, security, governance, and business stakeholders to make trusted, well-governed data products discoverable. The position requires a strong understanding of data security, privacy, access controls, regulatory compliance, and AI/ML governance. It falls under the company's Insider Threat Program and involves access to and control over sensitive data, systems, or assets. Selected candidates will undergo enhanced personnel screening, including a background review, drug screen, and psychological assessment.

Requirements

• At least 7 years of experience in data management, metadata management, and data or information governance.
• At least 7 years of experience with enterprise data catalog and metadata-management platforms, such as Erwin Data Intelligence, Alation, Databricks Unity Catalog, or Collibra.
• At least 7 years of experience developing and governing data dictionaries, business glossaries, metadata repositories, and related data governance artifacts.
• At least 5 years of experience implementing, operationalizing, and enforcing enterprise data governance policies, standards, and procedures.
• At least 5 years of experience conducting data governance assessments and data quality audits.
• Bachelor of Science degree in Computer Science, Data Science, Information Technology, Engineering, or equivalent.
• Demonstrable emotional intelligence and critical thinking that have contributed to successful outcomes.
• Excellent verbal and written communication and strong interpersonal skills for working with multiple teams.
• Proficiency in Python, PowerShell, PL/SQL, and/or T-SQL programming.
• Strong attention to detail and analytical skills.
• Ability to diagnose and resolve complex data-related issues.
• Ability to work independently and collaboratively.
• Extensive experience with application development and software engineering.
• Knowledge of physical database design, including table partitioning, indexing strategies, and database performance optimization.
• Deep understanding of data security, privacy, access controls, and regulatory compliance requirements, including PII, PCI, and AI/ML governance.

Nice To Haves

• Certified Data Management Professional (CDMP) certification.
• Experience with Azure Data Factory, Azure Databricks, and enterprise ETL/ELT platforms, including SQL Server Integration Services (SSIS) and Informatica.
• Experience in the energy utility industry, including natural gas and electricity.

Responsibilities

• Design, implement, and maintain the data catalog, machine-learning repositories, and AI catalog.
• Administer, configure, and optimize enterprise data catalog and metadata-management platforms to support security, reliability, scalability, and operational excellence.
• Design and implement integrations between catalog platforms and enterprise databases, data warehouses, data lakes, ETL/ELT tools, cloud platforms, and analytics solutions.
• Develop, manage, and govern business, technical, operational, and reference metadata, as well as data dictionaries, business glossaries, metadata repositories, and related governance artifacts.
• Develop and maintain automated processes for metadata harvesting, data classification, lineage discovery, governance workflows, and catalog administration.
• Conduct end-to-end data lineage and impact analysis across databases, ETL/ELT pipelines, cloud platforms, and reporting environments.
• Implement, operationalize, and enforce enterprise data governance policies, standards, and procedures.
• Conduct data governance assessments and data quality audits to support accuracy, integrity, and regulatory compliance.
• Partner with data engineering, analytics, architecture, security, governance, and business stakeholders to enable trusted and discoverable data products.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level