Looking for Reltio Technical Architect / Lead Engineer

Overview

Hybrid
$100 - $110
Contract - W2
Contract - 5 Month(s)

Skills

Data Architecture
Google Cloud Platform
Master Data Management
JSON
Enterprise Resource Planning
Data Quality
Data Modeling

Job Details

Pay rate: $105/hr***************

Relocation and H1B transfers will work******************

Job Title: Reltio Technical Architect / Lead Engineer (Or Informatica)

Location: Frisco, TX (Hybrid | 2x a week)

Duration: 5+ Months

Role Description and Key Project Details:

- Will work directly with the Hiring Manager

- Doing engineering and architecture work

- Will work with cross functional team

- They will architect the tool | make integrations on the tool

- Configuring and implementing Reltio

- 8-10 years of tool experience (Reltio MDM implementation - data architecture, data engineering, or MDM implementation)

Key Responsibilities:

  • Technical Architecture and implement(Configure/Customize) the Reltio MDM solution, including data modeling, survivorship, matching rules, workflows, and governance
  • Ingest master data from ERP systems, CRM applications, and customer portals
  • Create golden records by applying cleansing, unification, and deduplication logic
  • Enrichment of master data from 3rd party providers like D&B, Zoom Info etc
  • Distribute mastered data to downstream operational applications and analytical platforms in Google Cloud Platform

Required Qualifications:

  • 10 12 years of total hands on experience in Reltio MDM implementation - data architecture, data engineering, or MDM implementation
  • 5+ years of hands-on experience with Reltio, including configuration, integration, and domain modeling
  • Expertise in MDM concepts: match/merge logic, survivorship, data quality, and stewardship
  • Experience integrating Reltio with enterprise applications such as ERP platforms, CRM systems, and customer-facing portals
  • Strong knowledge of REST APIs, JSON, and real-time/event-driven architecture
  • Familiarity with cloud-based data platforms, particularly the analytical ecosystem in Google Cloud Platform (Google Cloud Platform) (e.g., BigQuery, Pub/Sub, Dataflow)
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