Overview:
We are seeking a Platform Architect with expertise in Informatica PowerCenter and Informatica Intelligent Cloud Services (IICS) to design, implement, and optimize enterprise-level data integration platforms. The ideal candidate will have a strong background in ETL/ELT architecture, cloud data integration, and platform modernization, ensuring scalability, security, and performance across on-prem and cloud environments.
Responsibilities:
Platform Engineering & Administration
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Oversee installation, configuration, and optimization of PowerCenter and IICS environments.
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Manage platform scalability, performance tuning, and troubleshooting.
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Implement data governance, security, and compliance (e.g., role-based access, encryption, data lineage tracking).
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Optimize connectivity and integrations with various sources (databases, APIs, cloud storage, SaaS apps).
Cloud & Modernization Initiatives
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Architect and implement IICS-based data pipelines for real-time and batch processing.
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Migrate existing PowerCenter workflows to IICS, leveraging serverless and cloud-native features.
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Ensure seamless integration with cloud platforms (AWS, Azure, GCP) and modern data lakes/warehouses (Snowflake, Redshift, BigQuery).
Qualifications:
- 4 years of experience in data integration and ETL/ELT architecture.
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Expert-level knowledge of Informatica PowerCenter and IICS (Cloud Data Integration, API & Application Integration, Data Quality).
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Hands-on experience with cloud platforms (AWS, Azure, GCP) and modern data platforms (Snowflake, Databricks, Redshift, BigQuery).
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Strong SQL, database tuning, and performance optimization skills.
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Deep understanding of data governance, security, and compliance best practices.
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Experience in automation, DevOps (CI/CD), and Infrastructure-as-Code (IaC) tools for data platforms.
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Excellent communication, leadership, and stakeholder management skills.
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Preferred Qualifications
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Informatica certifications (IICS, PowerCenter, Data Governance).
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Proficient to Power Center to IDMC Conversions
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Understanding on real-time streaming (Kafka, Spark Streaming).
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Knowledge of API-based integration and event-driven architectures.
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Familiarity with Machine Learning and AI-driven data processing.