Skip to main content
Loading
loadingbar
Loading, Please wait..!!

Senior Data Engineer - Architect Data Solutions & Pipelines

  • Job type Posted on: Jul 14, 2026
  • Experience level Nexify Infosystems
  • Employment type Toronto, Ohio
  • Employment type Onsite
  • Salary Full-time

Point Apply Here APPLY LATER

Curious about compensation?

Explore the historical salary trends, average pay, and estimated compensation for Senior Data Engineer - Architect Data Solutions & Pipelines roles in Ohio.

View Salary Guide →

Job Title :

Senior Data Engineer - Architect Data Solutions & Pipelines

Job Type :

Full-time

Job Location :

Toronto Ohio United States

Remote :

No

Jobcon Logo Job Description :

Nexify Infosystems is hiring a senior data engineer/architect to drive complex data solutions from concept to production. You will design data models, build scalable data pipelines, and align data architecture with business goals across departments. You will translate business needs into technical requirements, collaborate with data engineers and analysts, and mentor teams on best practices for data quality and governance. strong communication and leadership are essential. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 14, 2026

Reference Number:

14660_95595BA102ABD3889BA7825BDA2972CC

Employment:

Full-time

Salary:

Not Available

City:

Toronto

Job Origin:

APPCAST_CPC

Share this job:

  • linkedin

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Senior Data Engineer - Architect Data Solutions & Pipelines    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Nexify Infosystems is hiring a senior data engineer/architect to drive complex data solutions from concept to production. You will design data models, build scalable data pipelines, and align data architecture with business goals across departments. You will translate business needs into technical requirements, collaborate with data engineers and analysts, and mentor teams on best practices for data quality and governance. strong communication and leadership are essential. #J-18808-Ljbffr

Loading
Please wait..!!