MDM Technical Product Lead - Informatica 360

Eliassen Group; United States; A distancia; USD 121.000 - 210.000; Jornada completa

Descripción de la vacante

Eliassen Group is seeking a Senior MDM Technical Product Lead to drive architecture, design and delivery of enterprise Master Data Management solutions using Informatica 360. You will lead end-to-end data architecture, scalable integrations, and real-time enablement across banking platforms, delivering governed, high-quality customer data via API-driven and event-driven pipelines.

This is a full-time permanent role offering a competitive salary and comprehensive benefits.

Formación

• 12+ years in data engineering, MDM development, or integration architecture.
• Strong hands-on experience with Informatica Customer 360 and Reference 360.
• Expertise in Customer or Party MDM for individual and non-individual entities.
• Proficiency in SQL and data integration tools, including Informatica and ETL frameworks.
• Experience with REST and GraphQL APIs, and messaging or event platforms such as Kafka or MQ.
• Knowledge of data modeling, data governance, and data lineage with real-time and batch architectures.
• Experience in finance or banking domains, including core banking, CIS, and risk or compliance areas such as KYC.
• Agile experience with user stories and test cases in Jira.
• Familiarity with Snowflake or other cloud data platforms and exposure to Azure, AWS, or hybrid architectures.
• Leadership ability with strong communication and stakeholder engagement skills.
• Understanding of data warehousing, transformation methods, and ETL processes.
• Knowledge of spreadsheets and databases, with ability to write SAS and familiarity with SAS Enterprise Guide and Cognos.
• Preferred: microservices architecture, domain-driven design, DevOps and CI or CD automation, and large-scale data transformation programs.

Responsabilidades

• 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 including match and merge frameworks.
• Build and manage batch and real-time data pipelines using API-driven and event-driven approaches.
• Enhance enterprise data quality, profiling, exception reporting, and issue resolution for data warehouses and analytics.
• Develop dashboards and modern analytics to support business insights and special data projects.
• Enforce enterprise data policies, complete month-end validations, and support training or mentoring of team members.
• Create and maintain technical documentation, including source-to-target mappings and data dictionaries.
• Facilitate strategies to mature data management capabilities and support a multi-year roadmap.
• Collaborate cross-functionally across banking units and maintain awareness of emerging technologies.
• Deliver key artifacts including MDM architecture designs, data models, integration mappings, and performance frameworks.

Conocimientos

MDM architecture

data governance

data modeling

data lineage

real-time processing

REST APIs

GraphQL APIs

Educación

Bachelor's degree and 6 years of experience in Data Management or Data Analytics

High School Diploma or GED and 10 years of experience in Data Management or Data Analytics

Herramientas

Informatica Customer 360

Informatica Reference 360

SQL

ETL frameworks

Kafka

MQ

Snowflake

Azure

AWS

Descripción del empleo

Description:

Remote

Our client seeks a Senior MDM Technical Product Lead - Informatica 360 to lead the architecture, design, and delivery of enterprise Master Data Management solutions. The role will drive end-to-end data architecture, scalable integrations, and real-time enablement across banking platforms. The analyst will lead implementation of Informatica Customer 360 and Reference 360, enabling governed, unified, and high-quality customer data through API-driven and event-driven architectures, and robust batch and real-time data pipelines.

This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis.

Salary: $120,978/yr - $209,696/yr

Responsibilities:

• 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 including match and merge frameworks.
• Build and manage batch and real-time data pipelines using API-driven and event-driven approaches.
• Enhance enterprise data quality, profiling, exception reporting, and issue resolution for data warehouses and analytics.
• Develop dashboards and modern analytics to support business insights and special data projects.
• Enforce enterprise data policies, complete month-end validations, and support training or mentoring of team members.
• Create and maintain technical documentation, including source-to-target mappings and data dictionaries.
• Facilitate strategies to mature data management capabilities and support a multi-year roadmap.
• Collaborate cross-functionally across banking units and maintain awareness of emerging technologies.
• Deliver key artifacts including MDM architecture designs, data models, integration mappings, and performance frameworks.

Experience Requirements:

• 12+ years in data engineering, MDM development, or integration architecture.
• Strong hands-on experience with Informatica Customer 360 and Reference 360.
• Expertise in Customer or Party MDM for individual and non-individual entities.
• Proficiency in SQL and data integration tools, including Informatica and ETL frameworks.
• Experience with REST and GraphQL APIs, and messaging or event platforms such as Kafka or MQ.
• Knowledge of data modeling, data governance, and data lineage with real-time and batch architectures.
• Experience in finance or banking domains, including core banking, CIS, and risk or compliance areas such as KYC.
• Agile experience with user stories and test cases in Jira.
• Familiarity with Snowflake or other cloud data platforms and exposure to Azure, AWS, or hybrid architectures.
• Leadership ability with strong communication and stakeholder engagement skills.
• Understanding of data warehousing, transformation methods, and ETL processes.
• Knowledge of spreadsheets and databases, with ability to write SAS and familiarity with SAS Enterprise Guide and Cognos.
• Preferred: microservices architecture, domain-driven design, DevOps and CI or CD automation, and large-scale data transformation programs.

Education Requirements:

• Bachelor's degree and 6 years of experience in Data Management or Data Analytics, or High School Diploma or GED and 10 years of experience in Data Management or Data Analytics.