Job Description

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 & AdministrationOversee installation, configuration, and optimization of PowerCenter and IICS environments. Manage platform scalability, performance tuning, and troubleshooting. Implement data governance, security, and compliance (e.g., role-based access, encryption, data lineage tracking). Optimize connectivity and integrations with various sources (databases, APIs, cloud storage, SaaS apps).

Cloud & Modernization InitiativesArchitect and implement IICS-based data pipelines for real-time and batch processing. Migrate existing PowerCenter workflows to IICS, leveraging serverless and cloud-native features. 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. Expert-level knowledge of Informatica PowerCenter and IICS (Cloud Data Integration, API & Application Integration, Data Quality). Hands-on experience with cloud platforms (AWS, Azure, GCP) and modern data platforms (Snowflake, Databricks, Redshift, BigQuery). Strong SQL, database tuning, and performance optimization skills. Deep understanding of data governance, security, and compliance best practices. Experience in automation, DevOps (CI/CD), and Infrastructure-as-Code (IaC) tools for data platforms. Excellent communication, leadership, and stakeholder management skills. Preferred Qualifications Informatica certifications (IICS, PowerCenter, Data Governance). Proficient to Power Center to IDMC Conversions Understanding on real-time streaming (Kafka, Spark Streaming). Knowledge of API-based integration and event-driven architectures. * Familiarity with Machine Learning and AI-driven data processing.