Informatica Consultant (Various Level Positions)

Overview

Remote
$30 - $80
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

informatica
Data Governanc
Saas
MDM
IDMC
Imformatica Powercenter

Job Details

Title: Informatica Consultant (Various Level Positions)

Location: Remote

Length: 12 Months+

Required Qualifications

Bachelor's degree or higher in Computer Science, Information Technology, Business Administration, Engineering, Data Analytics or Data Science

10+ Years of experience in the professional services industry

7+ Years of experience working with Informatica SaaS MDM, IDMC and other governance projects.

Knowledge of data governance frameworks (like DAMA-DMBOK or DCAM) or have demonstrated the ability to implement data strategies across disparate data systems

Hands-on experience with Multi-Domain SaaS Informatica platforms, CDI, IDMC

Experience with at minimum three end-to-end MDM implementations (from scope definition to implementation and training) for a client or organization

Excellent communication, presentation, and interpersonal skills, with the ability to articulate technical concepts to both technical and non-technical audiences.

Hands-on experience leveraging data governance tools and technologies to perform activities pertaining to data quality, data cataloging, lineage, etc.

Experience with implementing data modeling concepts, semantic layer, star schema, data normalization

Proven record of managing relationships with senior client stakeholders and technology partners

Preferred Qualifications

Professional training, certifications, or qualifications in Data Governance tools like:

Informatica SaaS MDM Implementation Specialist

Informatica CDI

Informatica IDMC

Informatica PowerCenter

Informatica Data Governance

Active participation in local industry associations in the domain of data management or governance

Strong understanding of some regulatory compliance standards (e.g. GDPR, HIPAA, PIPEDA, PHIPA, HIA, BCBS-239 etc.)

Strong understanding of data warehousing principles, data modeling techniques, and ETL processes

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