Data Solutions Architect — End-to-End Data Design

Rogers; Calgary; Presencial; CAD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health & dental benefits

Pension plan & RRSP/TFSA

Stock matching programs

Descripción de la vacante

Rogers is seeking a hands-on Data Solutions Architect to design scalable, secure data solutions and lead end-to-end data architecture across data, integration, and analytics environments. You will collaborate with business partners, engineers, and platform teams to deliver production-ready solutions that scale and are reusable.

The role sits within the Data & AI team, driving design through to implementation.

Formación

• Bachelor’s or higher in CS/IT/Data management or equivalent.
• Experience designing and delivering data and analytics solutions.
• Strong understanding of data structures, platforms, and DBMS.
• Experience with ETL technologies and data integration approaches.
• Proficiency across traditional, big data, and cloud platforms.
• Hands-on with SQL and at least one programming language.
• Experience in cloud environments (AWS, Azure) including data services.
• Experience migrating data from on-premises to cloud environments.

Responsabilidades

• Design end-to-end data solutions spanning data logic, tech, and ETL architecture.
• Provide architectural guidance to project teams during implementation.
• Collaborate across data modeling, metadata management, ODS, and ETL environments.
• Design data consumption patterns and enable data reuse across business domains.
• Work with security teams to align with enterprise standards.

Educación

University degree in computer science, information technology, data management or equivalent

Herramientas

ADF (Azure Data Factory)

Databricks

Snowflake

Event Hubs

Azure Fabric

Descripción del empleo

Rogers is seeking a hands-on Data Solutions Architect to design scalable, secure data solutions and lead end-to-end data architecture across data, integration, and analytics environments. You will collaborate with business partners, engineers, and platform teams to deliver production-ready solutions that scale and are reusable.

The role sits within the Data & AI team, driving design through to implementation.