Cloud Data Analyst/ DBA

hireVouch · 6-month contract · SQL · 5 days ago

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Salary

≈ $51k – $102k per year (Estimated)

Location

In office (Calgary)

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Oct 23, 2026.

Overview

Company

Impact

Profile match

hireVouch

Headquartered in Toronto, Canada, hireVouch is a boutique recruitment agency specializing in technology and IT sector placements. The firm focuses on sourcing best-in-class candidates for contingency, retained, and temporary positions across North America. By leveraging an established network of industry-vetted professionals, it helps businesses efficiently build skilled and high-performing technical teams.

hirevouch.com · HQ: Toronto, Canada

Cloud DBA

6 month contract - onsite downtown Calgary

This role represents the evolution of a traditional Database Administrator into a cloud-focused data and analytics specialist. The emphasis shifts from database maintenance, backups, patching, and infrastructure administration toward data analysis, query performance optimization, cloud database configuration, observability, troubleshooting, and platform enablement.

Desired Skills & Experience

Strong SQL and data analysis capabilities across relational database platforms.
Experience optimizing queries, indexes, and workloads for cloud-hosted databases.
Knowledge of Azure SQL, Azure PostgreSQL, Oracle, or similar managed database services.
Experience with database monitoring, performance tuning, capacity planning, and operational triage.
Ability to analyze application data usage patterns and recommend improvements for scalability, performance, and cost optimization.
Familiarity with Infrastructure as Code, automation, and cloud-native operational practices.
Experience supporting application modernization and cloud migration initiatives.
Knowledge of analytics, reporting, visualization, or data science techniques is considered an asset.

Primary Focus Areas

Query optimization and performance analysis.
Cloud database configuration and operational support.
Application workload assessment and remediation.
Data quality, reporting, and analytics enablement.
Monitoring, observability, and incident triage.
Automation and operational efficiency improvements.

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