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Added 11 mins ago
HT
Proactive Monitoring Spec.
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- Full-time
Working with the Territory Technical Support team, the Monitoring Center Subject Matter Expert is in charge of monitoring customer’s equipment which is under the Advantage + Elite contract…
Added 11 mins ago
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- Full-time
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Added 25 mins ago
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- Part-time
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Added 25 mins ago
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- Part-time
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Calgary Homeless Foundation

Senior Data Warehouse Developer

Calgary, AB, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Dec 3, 2026
Experience: 5+ years of experience in MS SQL Server, designing, developing, Scripting queries and data processing packages
Posting language: English
Posted: Nov 3, 2026

Original job description

Calgary Homeless Foundation guides the fight against homelessness. Fueled by this purpose, we envision the day when homelessness is rare, brief, and non-recurring - perhaps an episode in someone's life, but never a condition that defines it. Working in alignment with governments and collaboratively with service providers and community partners, we help translate complex system needs into coordinated, efficient ground-level action that maximizes the impact of every resource and creates lasting pathways out of homelessness.

We are uniquely positioned to observe the many challenges facing our city and strengthen the entire sector through strategic leadership, forward-thinking capacity development, and hands-on, day-to-day support.

Our comprehensive data warehouse reveals the full picture of homelessness in our community, enabling us to anticipate challenges and identify effective solutions. And we unite diverse stakeholders around shared goals and help address complex situations that no single agency can solve alone.

Our collective approach and focus on learning and evaluation equip us to address homelessness across our city while keeping the people experiencing it at the heart of our work. When the system works better together, more people find their way home.

We are looking for passionate, entrepreneurial, and talented people to join our action-oriented, high impact team.

The Position

Reporting to the Manager, Data Analytics & Business Intelligence, the Senior Data Warehouse Developer is responsible for developing and optimising CHF’s Data Warehouse, and associated Business Intelligence assets, ensuring optimized integration and accuracy of all organizational information assets and associated systems. The Senior Data Warehouse Developer will design, maintain the warehouse including cloud based automation, predictive modelling and infrastructure oversight.

Our Staff

CHF staff are action-oriented individuals who are catalytic leaders, courageous collaborators, evidence inspired, and vision dedicated. They choose to bring their professional expertise and personal talents to the non-profit sector, to add value to the full community. They work cooperatively with others in a strong team environment; demonstrate flexibility in organizing and undertaking work; show a high degree of initiative, discernment and resourcefulness; exhibit excellent communication and relational skills; demonstrate thoughtfulness and intelligence in decision making; and are focused on creating positive outcomes for persons experiencing homelessness.

How we work here:

At CHF our approach is grounded in purpose, collaboration, and accountability. We believe that how we work together matters as much as what we achieve.

Here’s what you can expect from us - and what we expect from you:

Ownership Under Pressure: We take responsibility for outcomes, even when challenges arise.
Constructive Feedback: We give and receive feedback openly, with the goal of learning and improving.
Pace with Purpose: We move quickly when needed, without sacrificing quality or integrity.
Healthy Disagreement: We challenge ideas respectfully and invite discussion to make decisions stronger.
Shared Understanding: Expertise means building clarity for others, not being “right by default.”

Our culture values transparency, inclusion, and resilience. We name real pressures – external and internal - and navigate them together. Interviews and development conversations focus on real examples of how we act when it’s hard, because that’s when our values matter most.

Accountability and Deliverables

Key activities include:

Cloud-Based Extract, Transform, Load (ETL) Development & Automation

Designs scalable architectur, optimizes performance, leads complex data modelling
Designs complex pipelines, models, and BI assets with system level impact

Mobile Awareness GEOINT Environment (MAGE) Application Development & Enhancement

Lead the development, upgrade, and maintenance of the MAGE application, aligning with evolving business needs and ensuring seamless integration with data infrastructure.

Infrastructure Administration & Support

Utilizes cloud tools, automation, and analytics. Recommends implementing new tools and provides explanations of their benefits based on experience

Data Modeling & Architecture

Design and implement robust data models, including both logical and physical schemas, to support scalable analytics and reporting across the organization
Design, implement and integrate predictive analytical models with the data warehouse.

SQL Server Data Warehouse Management

Develop and optimize the corporate SQL Server–based data warehouse, ensuring high performance, scalability, and data integrity

Data Quality & Validation

Identifies systemic problems and suggests long-term architectural solutions with flexibility for future development, tackles advanced challenges

Cross-Team Collaboration

Build strong partnerships with the Homeless Management Information System (HMIS), Data & Analytics, and other teams to resolve data quality issues, define key performance indicators (KPIs), and meet evolving reporting requirements. Leads end-to-end delivery of data initiatives

Contingency Planning & Risk Mitigation

Develop and maintain critical process contingency plans to safeguard data availability and continuity of reporting services

Performance Monitoring & Optimization

Continuously monitor data warehouse operations, analyze performance bottlenecks, and implement optimizations to improve efficiency and reliability

Education and Experience

The ideal candidate will have the following qualifications:

Post-secondary degree/diploma/certification in Computer Science or a related discipline. Equivalent experience will also be considered. Data Warehouse certifications are an asset
5+ years of experience in a medium complex data warehouse environment, hands-on Data warehousing project experience and experience in full life cycle Business Intelligence development, implementation, tuning and support
5+ years of experience in MS SQL Server, designing, developing, Scripting queries and data processing packages
Extensive experience in relational and multi-dimensional data modeling, including multiple source systems from databases and flat files, OLAP, ROLAP
Experience in the areas of data architecture, data warehousing, and database administration.
Familiarity with BI tools (e.g., Qlik Sense)
Experience in data warehouse implementation using Azure infrastructure
Experience with Web application development is an asset
Places emphasis on client satisfaction and clearly communicate solutions to both technical and non-technical staff
Demonstrated ability for creativity and innovative problem solving
Able to multi-task in a dynamic environment, think clearly and calmly under pressure
Ability to work in a fast-paced, dynamic environment that requires flexibility and balancing of competing priorities

General Competency Requirements

The ideal candidate will be expected to demonstrate and grow the following competencies :

Taking Accountability for Guiding the Fight Against Homelessness by:

Regularly sharing our Purpose and Ambition and make decisions that move us toward it.
Following through on my commitments to earn the trust of my colleagues and community partners.
Identifying obstacles, admitting my mistakes, and taking ownership of solutions.

Fostering a Growth Mindset by:

Regularly seek new information and leveraging data to inform my solutions and decisions.
Treating mistakes as learning opportunities and focusing myself & others on improving future results.
Considering how I may have contributed to problems and regularly seeking feedback to discover how I can improve.
Accepting ambiguity and taking action to move us in the direction of our goals without waiting for perfect information

Empowering Others to Succeed by:

Articulating and agreeing upon clear expectations and desiredresults.
Meeting regularly with my key internal and external stakeholders to ensure they have what they need from me to succeed.
Eliminating organizational constraints that hold people back.

Collaborating for Greater Impact by:

Proactively collaborating with others and incorporating their input into solutions.
Respecting the unique strengths and agency of others by encouraging them to propose solutions and make decisions.
Having the courage to share difficult perspectives directly, respectfully, and in a timely manner, and encouraging others to do the same.
Being willing to change my perspective when presented with newinformation.

Apply About employer

More about this job

Responsibilities

Develop, maintain, and optimize the organization’s SQL Server data warehouse, cloud-based ETL pipelines, data models, predictive analytics, and associated business intelligence assets. Lead MAGE application development and data initiatives, support infrastructure and data quality, and collaborate across teams to meet reporting needs and ensure reliable data services.

Requirements

A post-secondary qualification in computer science or a related discipline, or equivalent experience, is sought; data warehouse certifications are an asset. Candidates should have at least five years of data warehousing and full-lifecycle BI experience, strong SQL Server and data modeling expertise, and experience with Azure-based warehouse implementation; Qlik Sense familiarity is also noted.

Skills

Data Warehousing
ETL Development and Automation
SQL Server
Data Modeling
Data Architecture
Business Intelligence
Azure
Predictive Modeling
Database Administration
Data Quality and Validation
Performance Optimization
Qlik Sense
OLAP and ROLAP
Web Application Development
Cross-Team Collaboration
Contingency Planning

Visa sponsorship

Not detected in the job text

Keywords

Data Warehouse
ETL
SQL Server
Azure
Business Intelligence
Data Modeling
Data Architecture
Predictive Analytics
Qlik Sense
OLAP
ROLAP
Database Administration
Cloud Automation
Data Integration
Data Quality
KPI
MAGE Application
Web Application Development
Performance Monitoring
Infrastructure Administration
Relational Databases
Multidimensional Data Modeling
Flat Files
Contingency Planning
Reporting Services

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