Data Solutions Architect - Build Scalable Data Platforms

Rogers Communications, Inc.

Calgary

On-site

CAD 120,000 - 180,000

Full time

8 days ago

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Benefits offered by this job

Health & well-being benefits
Employee stock options
Paid time off for volunteering
Pension plan

Job summary

Rogers Communications, Inc. in Calgary is seeking a hands-on Data Solutions Architect to design and deliver scalable, secure data solutions across data, integration, and analytics environments.

You will work with business partners, engineers, and platform teams to shape practical, production-ready data architectures. The role emphasizes end-to-end design, collaboration across teams, and adoption of standard patterns to ensure performance, security, and reusability, with a focus on cloud

Qualifications

  • Experience designing and delivering data and analytics solutions.
  • Strong understanding of data structures, data platforms, and DBMS.
  • Experience with ETL technologies and data integration approaches.
  • Proficiency with SQL and at least one programming language.
  • Experience in cloud environments (AWS/Azure) and data governance awareness.

Responsibilities

  • Design Data Solutions spanning data logic, tech, and ETL architecture.
  • Provide architectural guidance during delivery and implementation.
  • Contribute to data modeling across metadata, ODS, and ETL environments.
  • Develop conceptual, logical, and physical data models for reusability.
  • Collaborate with partners to align with enterprise data strategy.

Skills

Data Architecture
ETL
SQL
Cloud Platforms
Data Modeling
Big Data
Programming

Education

Bachelors in CS/IT/Data Management

Tools

ADF (Azure Data Factory)
Databricks
Snowflake
Event Hubs
Fabric

Job description

Rogers Communications, Inc. in Calgary is seeking a hands-on Data Solutions Architect to design and deliver scalable, secure data solutions across data, integration, and analytics environments.

You will work with business partners, engineers, and platform teams to shape practical, production-ready data architectures. The role emphasizes end-to-end design, collaboration across teams, and adoption of standard patterns to ensure performance, security, and reusability, with a focus on cloud

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