+ Set up and configure the IDMC platform according to business and enterprise requirements.
+ Manage platform components, including connections, services, and integrations.
+ Ensure high availability, scalability, and optimal performance.
+ Leverage "isolation" features to separate enterprise projects and workloads.
+ Install, configure, and administer Linux-based software components, such as Informatica Intelligent Cloud Services (IICS), Data Catalog, MarketPlace, Data Quality, Data Profiling, and Meta Data Management
Scale, Tune and Optimize Environment:
+ Cloud-Specific scaling including auto-scaling, elastic load balancing and serverless computing to facilitate larger load volumes, concurrency and high-availability.
+ Monitor system performance and identify bottlenecks.
+ Fine-tune configurations for optimal resource utilization.
+ Implement best practices for performance optimization.
+ At the OS level (Linux), adjust kernel parameters, manage and tune file systems, utilize tools to monitor system health and identify bottlenecks.
+ Optimize network integration to ensure efficient data flow between on-premises and cloud environments.
Integrate with Enterprise and Cloud Systems:
+ Collaborate with other IT teams to integrate IDMC with existing enterprise systems (e.g., ERP, CRM, databases).
+ Configure connectors and APIs to facilitate seamless data exchange.
+ Ensure compatibility with Azure cloud platform for compute and storage infrastructure deployment, security integration, network integration and monitoring.
Administer and Control Platform Security:
+ Implement security measures to safeguard data and prevent unauthorized access.
+ Manage user access, roles, and permissions.
+ Monitor security logs and address any security incidents promptly.
+ Implement, monitor, test and document security controls to abide by various regulations.
Support Project Development Lifecycle:
+ Collaborate with development teams to understand project requirements.
+ Assist in designing and implementing data integration workflows.
+ Implement and execute procedures for code migration and deployment of data pipelines.
+ Troubleshoot issues during development and deployment phases.
Work with Enterprise Architects to Design and Implement Best Practices:
+ Collaborate with solution architects to define and implement data integration strategies.
+ Incorporate industry best practices for data governance, data quality, and performance.
Participate in architectural reviews and contribute to platform enhancements
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