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
- Oversee 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 Initiatives
- Architect 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.