Cloud Data Governance

capabilities using Informatica Intelligent Data Management Cloud (IDMC). This role will serve as a technical subject matter expert for Cloud Data Governance & Catalog (CDGC), Metadata Command Center (MCC), Cloud Data Profiling (CDP), Cloud Data Quality (CDQ), API Center,and IDMC Administration Services
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The successful candidate will be responsible for metadata engineering, governance automation, custom metadata onboarding, custom catalog source development, data quality implementation, API governance, and the ongoing evolution of the enterprise data governance ecosystem. This includes designing scalable metadata models, automating governance processes, and integrating non-standard data sources into the enterprise metadata landscape.

• Administer and support Informatica IDMC services including CDGC, MCC, CDP, CDQ, API Center, Administrator, and related cloud services.
• Design and maintain enterprise governance platform architecture, security model, and operational standards.
• Configure and manage:
• User roles and access controls
• Runtime environments
• Secure agents
• Connectivity frameworks
• Organization-level settings
• Access policies
• Troubleshoot platform performance, metadata ingestion failures, scanner errors, security issues, and service integrations.
• Support platform upgrades, feature releases, and governance roadmap initiatives.
• Design & Implement governance platform standards, deployment procedures, and technical best practices.

• Design, implement, and maintain metadata ingestion frameworks across enterprise data platforms.
• Develop and support:
• Catalog Sources
• Connector configurations
• Metadata extraction workflows
• Lineage acquisition solutions
• Data Classifications development
• Configure and manage metadata ingestion from:
• Databases
• Data warehouses
• Data lakes
• ETL platforms
• API-based systems
• Cloud applications
• Troubleshoot metadata extraction and scanner execution issues.
• Optimize scan performance and metadata quality.

• Design and implement custom catalog sources for technologies not supported by Informatica out-of-the-box.
• Develop custom metadata acquisition solutions utilizing:
• Metadata APIs
• REST services
• SDKs
• External repositories
• Custom ingestion frameworks
• Create automated metadata extraction processes from proprietary or internally developed applications.
• Develop ingestion pipelines to populate technical metadata, lineage metadata, ownership information, classifications, and business context.

• Design and implement custom metadata models to extend standard CDGC capabilities.
• Create and maintain:
• Custom asset types
• Custom attributes
• Custom relationships
• Custom stakeholder assignments
• Custom workflows
• Define enterprise metadata standards and governance taxonomies.
• Design metadata structures supporting:
• Data Products
• Business Capabilities
• Application Portfolios
• Regulatory Requirements
• Data Domains
• Operational Controls
• Implement metadata governance strategies to support business and technical metadata alignment.

• Configure and enhance governance asset frameworks including:
• Business Terms
• Policies
• Processes
• Domains
• Metrics
• Data Sets
• Systems
• Develop governance workflows and approval processes.
• Implement relationship models between business and technical assets.
• Configure stakeholder management and stewardship processes.
• Support data lineage, glossary association, classification, certification, and governance reporting capabilities.

• Design enterprise data profiling strategies.
• Configure profiling jobs and scorecards.
• Develop automated profiling frameworks for newly onboarded data assets.
• Analyze profiling results to identify:
• Data quality issues
• Anomalies
• Compliance concerns
• Governance opportunities
• Support profiling metric standardization across business domains.

• Design, develop, and maintain enterprise data quality solutions.
• Create:
• Rule Specifications
• Business Rules
• Rule Templates
• Rule Occurrences
• Data Quality Dashboards
• Data Quality Scorecards
• Configure automated monitoring and remediation processes.
• Integrate data quality results into governance workflows and executive reporting.
• Support data quality rule deployment and operationalization across multiple domains.

• Administer API Center and API governance frameworks.
• Configure and manage:
• API publication
• Access controls
• API security policies
• Subscription management
• API monitoring
• Develop…