MDM Systems Engineer - Data Pipelines & Governance

Orgill,-Inc.; Collierville (TN); On-site; USD 90,000 - 130,000; Full time

Job summary

Orgill, Inc. is seeking a skilled MDM Systems Engineer in Collierville, TN to design, build, and maintain end-to-end data integration workflows powering the MDM ecosystem. You will connect IPIM/Precisely/EnterWorks, Snowflake, and downstream applications such as Salesforce and E‑Commerce with automated pipelines.

The role requires hands-on SQL, data engineering, and a strong systems-analysis mindset to optimize the master data lifecycle and improve operational efficiency.

Qualifications

• Bachelor’s degree or equivalent experience.
• 2–5 years in data engineering/integration within MDM/PIM or cloud data warehouse.
• Strong SQL and data querying skills.
• Experience with MDM/PIM platforms and Snowflake.
• Familiarity with APIs and ETL/ELT pipelines.
• Proficiency with Jira, Confluence, Ivanti for ITSM.
• Strong analytical, systems thinking and cross-functional collaboration.

Responsibilities

• Design and maintain end-to-end data pipelines and integration workflows.
• Architect integration across MDM, PIM, Snowflake and downstream systems.
• Ensure data quality, governance and lineage across platforms.
• Collaborate with business partners and IT teams to scope requirements.
• Document architecture, data dictionaries, and processes in Confluence.

Skills

SQL proficiency

Data engineering

Systems thinking

Analytical problem solving

Cross-functional communication

Education

Bachelor’s degree in CS/IS/Software/Data Eng

Tools

EnterWorks

Informatica

Snowflake

Jira

Confluence

Ivanti

REST/GraphQL APIs

Job description

Orgill, Inc. is seeking a skilled MDM Systems Engineer in Collierville, TN to design, build, and maintain end-to-end data integration workflows powering the MDM ecosystem. You will connect IPIM/Precisely/EnterWorks, Snowflake, and downstream applications such as Salesforce and E‑Commerce with automated pipelines.

The role requires hands-on SQL, data engineering, and a strong systems-analysis mindset to optimize the master data lifecycle and improve operational efficiency.