Overview
Remote
$70 - $80
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required
Skills
Product Information Management
PIM
Job Details
Job Summary:
We are seeking a highly experienced ETL/Informatica Architect with strong expertise in Product Information Management (PIM) systems to lead the design, development, and optimization of our data integration architecture. This role involves designing scalable ETL solutions, ensuring data quality, and aligning with business data governance standards while working closely with cross-functional teams.
Key Responsibilities:
Architect, design, and implement scalable and high-performance ETL solutions using Informatica PowerCenter, Informatica Cloud, and/or IICS.
Integrate and manage data flows between PIM systems (such as Informatica PIM, Stibo Systems, Salsify, or Riversand) and enterprise data platforms.
Lead data mapping, transformation, and cleansing processes to support business objectives.
Collaborate with business analysts, data stewards, and application teams to understand and implement PIM-related data models and integration strategies.
Conduct code reviews, troubleshoot ETL performance bottlenecks, and recommend enhancements.
Support master data management (MDM) and data governance initiatives involving product data.
Provide mentorship to junior data engineers and developers.
Required Qualifications:
Bachelor's or Master s degree in Computer Science, Information Systems, or related field.
Experience in ETL development and data integration, ETL architecture roles.
Strong hands-on experience with Informatica PowerCenter, Informatica Cloud, and/or IICS.
Experience working with PIM solutions (Informatica PIM preferred; others acceptable).
Expertise in relational databases (Oracle, SQL Server, PostgreSQL, etc.) and strong SQL skills.
Experience designing and implementing integration solutions between PIM, ERP, and eCommerce platforms.
Familiarity with data modeling, metadata, and data quality frameworks.
Strong understanding of data warehousing, data lakes, and data governance principles.
Experience working in Agile or DevOps environments.
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