Informatica Lead Architect

Job highlights

• 10+ years experience with 4+ years hands-on Informatica IDMC (CAI, CDI, CIH), Salesforce integration (REST/SOAP APIs, platform events), API gateway concepts (OAuth 2.0, OpenAPI 3.x), CDC/event-streaming (Kafka, SQS), and SQL with BigQuery
• Lead Informatica architecture and implementation based on architecture documents, integrate Salesforce and cloud data warehouses, manage API specifications and event streaming

Interested candidates, kindly share your resume at 9361912009/[email protected]

Role: Informatica Lead/Architect

Total Yrs of Experience - 10+years
Location - Chennai (WFO)

Job Description:

4+ years hands-on Informatica Intelligent Data Management Cloud (IDMC) both CAI (Cloud Application Integration) and CDI (Cloud Data Integration) and also with CIH.

Salesforce integration experience REST/SOAP APIs, platform events, Salesforce object model, and Apex-adjacent integration patterns (Apex not required, but the ability to read it is a plus).

Practical experience with API gateway / API management concepts — OAuth 2.0, rate limiting, response caching — and hands-on OpenAPI 3.x specification authoring.

Change Data Capture (CDC) and/or event-streaming experience — Kafka or SQS, or a CDC tool (IDMC-native equivalent).

Solid SQL and experience working with BigQuery or a comparable cloud data warehouse.

Comfortable working from an architecture document and interface inventory rather than a blank page — able to read a current-state target-state mapping and implement against it without needing the design re-explained.

Desirable / Nice to Have

Experience with Informatica CLAIRE (AI-assisted mapping, schema-drift detection, or MDM match/merge) — several target-state interfaces are candidates for CLAIRE-accelerated build, and prior exposure shortens ramp-up.

Higher-education sector experience, particularly with Banner SIS, Ellucian Ethos, StudyLink, or Canvas LMS.

Experience building or consuming a governed API catalog (API Center / API gateway products)

Exposure to reconciliation/data-quality tooling and dead-letter/replay patterns in a production integration estate.