Remote Senior MDM Product Lead - Informatica 360

Eliassen Group; Montpelier (VT); Remote; USD 121.000 - 210.000; Vollzeit

Zusammenfassung

Eliassen Group seeks a Senior MDM Technical Product Lead – Informatica 360 to architect and deliver enterprise Master Data Management solutions. The role drives end-to-end data architecture, scalable integrations, and real-time pipelines across banking platforms using Informatica Customer 360 and Reference 360 in a remote setting.

You will lead implementation, govern MDM architecture, build batch and event-driven data flows, improve data quality, and collaborate with cross‑functional teams to

Qualifikationen

• 12+ years in data engineering, MDM development, or integration architecture.
• Strong hands-on experience with Informatica Customer 360 and Reference 360.
• Experience with REST and GraphQL APIs and data integration tools.

Aufgaben

• Lead implementation and optimization of Informatica Customer 360 and Reference 360, from source ingestion to downstream consumption.
• Design and govern MDM architecture, integration patterns, and golden record management.
• Build and manage batch and real-time data pipelines using API-driven and event-driven approaches.
• Enhance data quality, profiling, and issue resolution for data warehouses and analytics.
• Develop dashboards and analytics to support business insights and data projects.
• Create technical documentation including mappings and data dictionaries.

Kenntnisse

Informatica Customer 360

SQL

REST & GraphQL APIs

Agile (Jira)

Leadership

Ausbildung

Bachelor's degree in a relevant field

Tools

Informatica

ETL frameworks

Jobbeschreibung

Eliassen Group seeks a Senior MDM Technical Product Lead – Informatica 360 to architect and deliver enterprise Master Data Management solutions. The role drives end-to-end data architecture, scalable integrations, and real-time pipelines across banking platforms using Informatica Customer 360 and Reference 360 in a remote setting.

You will lead implementation, govern MDM architecture, build batch and event-driven data flows, improve data quality, and collaborate with cross‑functional teams to