Job Summary:
We are seeking a skilled Informatica Intelligent Data Management Cloud (IDMC) Architect to lead the design, development, and implementation of data integration solutions leveraging Informatica IDMC. The ideal candidate will have deep expertise in Informatica tools, cloud data integration, and experience in designing scalable, high-performance architectures for enterprise data management.
Key Responsibilities:
Architecture & Solution Design:
- Design and implement scalable data integration and management architectures using Informatica IDMC.
- Provide technical leadership in solution design, data pipelines, and ETL processes.
- Evaluate business requirements and translate them into effective architectural designs.
Implementation & Integration:
- Lead the migration of legacy ETL systems to Informatica IDMC solutions.
- Integrate various data sources, including on-premises and cloud platforms like AWS, Azure, and Google Cloud.
- Configure, deploy, and optimize data pipelines and workflows in IDMC.
Data Governance & Security:
- Ensure data quality, governance, and security protocols are integrated into the solutions.
- Establish standards and best practices for data integration and transformation.
Collaboration:
- Work with cross-functional teams, including data analysts, data scientists, and business stakeholders, to deliver robust data solutions.
- Provide mentorship to junior team members and collaborate with the operations team for seamless deployment.
Performance Optimization:
- Monitor, troubleshoot, and optimize performance of data flows and integrations.
- Utilize Informatica Monitoring Console and other tools to ensure system reliability.
Documentation:
- Develop comprehensive documentation for architectural designs, workflows, and technical specifications.
Required Skills & Qualifications:
Technical Expertise:
- 8+ years of experience in Informatica tools (PowerCenter, IDMC, Informatica Cloud).
- Expertise in Informatica IDMC modules, including Cloud Data Integration (CDI), Data Quality (CDQ), and Master Data Management (MDM).
- Strong understanding of cloud platforms (AWS, Azure, GCP) and data warehousing concepts.
- Proficient in SQL, Python, or other scripting languages for data manipulation and ETL.
Soft Skills:
- Strong problem-solving skills with the ability to handle complex technical challenges.
- Excellent communication skills and the ability to work effectively with cross-functional teams.
- Proven track record in managing and delivering large-scale data integration projects.