Data Architect II / Data Catalog Engineer at Southern Company

Job description

Data Architect II/Data Catalog Engineer Job Description Southern Company Gas is hiring a Data Catalog Engineer for the Data Management team. The candidate will engage with stakeholders from the business and technology units in the Gas Technology Solutions and Gas Enterprise Data and Governance (EDGE) organization. The associate in the role will design, implement and maintain the data catalog, Machine Learning (ML) repositories, and AI catalog ensuring effective data asset management and enabling self-service capabilities. The ideal candidate will possess extensive experience with data catalog and data dictionary tools, prepare data for AI readiness, a strong understanding of database design, and proficiency in data governance policies and procedures to maintain data quality and integrity. Skills Required: • 7+ years of experience in data management, metadata management, and data/information governance. • 7+ years of experience with enterprise data catalog and metadata management platforms (e.g., Erwin Data Intelligence, Alation, Databricks Unity Catalog, Collibra). • 7+ years of experience developing and governing data dictionaries, business glossaries, metadata repositories, and related data governance artifacts. • 5+ years of experience implementing, operationalizing, and enforcing enterprise data governance policies, standards, and procedures. • 5+ years of experience conducting data governance assessments and data quality audits to ensure data accuracy, integrity, and regulatory compliance. • Administer, configure, and optimize enterprise data catalog and metadata management platforms to ensure security, reliability, scalability, and operational excellence. • Design and implement integrations between data catalog platforms and enterprise data ecosystems, including databases, data warehouses, data lakes, ETL/ELT tools, cloud platforms, and analytics solutions. • Develop, manage, and govern business, technical, operational, and reference metadata to improve data quality, consistency, discoverability, and trust. • Develop and maintain automated processes for metadata-harvesting, data classification, lineage discovery, governance workflows, and catalog administration. • Perform end-to-end data lineage and impact analysis across databases, ETL/ELT pipelines, cloud platforms, and reporting environments to support compliance, change management, and root-cause analysis. • Partner with data engineering, analytics, architecture, security, governance, and business stakeholders to enable trusted, well-governed, and easily discoverable data products. • Deep understanding of data security, privacy, access controls, and regulatory compliance requirements, including PII, PCI, and AI/ML governance. Education • BS degree in Computer Science, Data Science, Information Technology, Engineering, or equivalent. Additional Competency Qualifications • Certified Data Management Professional (CDMP) preferred • Demonstrable experience of emotional intelligence and critical thinking that aided successful outcomes. • Excellent verbal and written communication and strong interpersonal skills to work with multiple teams. • Proficiency in Python, PowerShell, PL/SQL and/or T-SQL programming. • Strong attention to detail and analytical skills. • Proficiency in diagnosing and resolving complex data-related issues. • Ability to work independently and collaboratively. • Extensive experience with application development and software engineering. • Knowledge of Physical Database design including but not restricted to table partitioning, indexing strategies, and database performance optimization techniques • Experience with Azure Data Factory, Azure Databricks, and enterprise ETL/ELT platforms, including SQL Server Integration Services (SSIS) and Informatica • Energy utility (Natural Gas and Electricity) industry experience is a plus. This position falls under the company’s Insider Threat Program and will have access to, and control over sensitive data, systems or assets. Enhanced personnel screening, which includes a background review, drug screen and psychological assessment, will be required if you are selected for this position

Requirements

Must-haves

Data Architect II/Data Catalog Engineer
7+ years of experience in data management, metadata management, and data/information governance.
7+ years of experience with enterprise data catalog and metadata management platforms (e.g., Erwin Data Intelligence, Alation, Databricks Unity Catalog, Collibra).
7+ years of experience developing and governing data dictionaries, business glossaries, metadata repositories, and related data governance artifacts.
5+ years of experience implementing, operationalizing, and enforcing enterprise data governance policies, standards, and procedures.
5+ years of experience conducting data governance assessments and data quality audits to ensure data accuracy, integrity, and regulatory compliance.
Administer, configure, and optimize enterprise data catalog and metadata management platforms to ensure security, reliability, scalability, and operational excellence.
Design and implement integrations between data catalog platforms and enterprise data ecosystems, including databases, data warehouses, data lakes, ETL/ELT tools, cloud platforms, and analytics solutions.
Develop, manage, and govern business, technical, operational, and reference metadata to improve data quality, consistency, discoverability, and trust.
Develop and maintain automated processes for metadata-harvesting, data classification, lineage discovery, governance workflows, and catalog administration.
Perform end-to-end data lineage and impact analysis across databases, ETL/ELT pipelines, cloud platforms, and reporting environments to support compliance, change management, and root-cause analysis.
Partner with data engineering, analytics, architecture, security, governance, and business stakeholders to enable trusted, well-governed, and easily discoverable data products.
Deep understanding of data security, privacy, access controls, and regulatory compliance requirements, including PII, PCI, and AI/ML governance.
BS degree in Computer Science, Data Science, Information Technology, Engineering, or equivalent.
Additional Competency Qualifications
Demonstrable experience of emotional intelligence and critical thinking that aided successful outcomes.
Excellent verbal and written communication and strong interpersonal skills to work with multiple teams.
Proficiency in Python, PowerShell, PL/SQL and/or T-SQL programming.
Strong attention to detail and analytical skills.
Proficiency in diagnosing and resolving complex data-related issues.
Ability to work independently and collaboratively.
Extensive experience with application development and software engineering.

Nice-to-haves

Certified Data Management Professional (CDMP) preferred
Energy utility (Natural Gas and Electricity) industry experience is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlaipythonsqlazure

Platform: oracle-cloud
Effort: medium