Data Architect
Offre en anglaisDATA ARCHITECT Reference #: 2026-98 Strong. Proud. Uplifting. At Ornge, we believe that ordinary people can do extraordinary things. Each day, we connect communities with critical care across Ontario, Canada. In the air and by land, our teams deliver equity in emergency response, uplifting the lives of those in our care. We are excited to onboard individuals who bring energy, enthusiasm, and professionalism to our growing group of difference-makers and life-changers. Discover Ontario, Canada, and an exciting career with Ornge. Position Title Data Architect Department/Section Corporate Ser…
- Hybride
- ONTARIO
- Publié 6 juill. 2026
- 1 poste
Résumé du poste
DATA ARCHITECT Reference #: 2026-98 Strong. Proud. Uplifting. At Ornge, we believe that ordinary people can do extraordinary things. Each day, we connect communities with critical care across Ontario, Canada. In the air and by land, our teams deliver equity in emergency response, uplifting the lives of those in our care. We are excited to onboard individuals who bring energy, enthusiasm, and professionalism to our growing group of difference-makers and life-changers. Discover Ontario, Canada, and an exciting career with Ornge. Position Title Data Architect Department/Section Corporate Services Employment Status Permanent Full Time Targeted Hiring Range $100,937-$119,863 Salary Range $100,937-$138,789 Work Mode Hybrid (3 Days In-Office Per Week) Existing Vacancy Yes Location 5310 Explorer Dr. Mississauga, ON Hours of Work Monday-Friday; 37.5 Hours/Week Posting Open Date Monday, July 6, 2026 Posting Close Date Monday, July 13, 2026 The targeted salary range is supplemented by a competitive total rewards package. The salary offered to the successful candidate will consider a wide array of factors such as the individual’s skillset, level of experience applicable to the role and internal equity considerations. Uplifting Your Career at Ornge The Data Architect designs, develops, implements, deploys, and manages Ornge’s Enterprise Data Architecture, and collaborates with internal/external partners across business and technology domains that produce and consume data to optimize data management, integration, alignment with business goals, and adherence to governance strategies. The successful incumbent is a master data manipulator - a data architect, engineer and modeller who brings strong business acumen, passion for API and data-transformations. Work amongst the best - our high performing, solutions-oriented team is diverse, and works within multiple system integrations. We are looking for someone who is technically sound, is a problem solver and a strong communicator. You can look forward to being a part of operationalizing Enterprise Data Strategy project, focusing on assessing opportunities for alignment, functionality and reduce areas of redundancy. Our collective goal is to be a data-driven organization which drives innovation, continuous improvement, and leverages insights to better deliver provincial health equity, operational excellence, and patient-centred care. Key Accountabilities: Data Strategy – Develops, implements, and maintains Enterprise Data Architecture that aligns with Enterprise Data Strategy and supports Ornge’s strategical initiatives. Data Integration – Architects high-quality data solutions/pipelines based on technical principles that utilize internal and external data, which is imported, stored, processed/transformed, cleansed, and integrated into existing Enterprise Data Architecture. Data Governance – Ensures data architecture supports strong Data Governance practices, including data quality, security, compliance, and cohesive data definitions across organization. Data Modeling - Designs enterprise-wide conceptual/logical models for operational and analytical systems, ensuring consistency, scalability, agility, and correctness. Collaboration - Collaborates with internal and external partners as SME on organizational data curation requirements, data integration capabilities, data conceptualization, data-quality initiatives, and data stewardship. Drives Innovation – Fosters innovation, optimization, and development of data architectural methodologies, emerging technologies, tools, platforms, and process/pipeline solutions that support Ornge's Enterprise Data Architecture. Qualifications: Bachelor’s degree in Computer Science, Engineering, Information Management or Big Data and Analytics 7-9 years of related experience in a similar role with a focus on designing, developing, implementing, deploying, and managing an organization’s Enterprise Data Architecture. 5-7 years of experience with bi-directional APIs, gateways/protocols such as REST APIs, MS Fabric GraphQL, SOAP and/or Microservices. Advance experience writing server-side endpoint logic that processes incoming requests, triggers business events, and interacts with underlying Enterprise Data Architecture. Familiarity with configurations that managing traffic orchestrations through API gateways. Advanced technical proficiency with transformations and loading of internal/external data from various source like files, JSON, XML, noSQL, SQL databases Experience with MS Fabric and Cloud technology like Azure Data Architecture/Framework and Cloud Analytics Services. Data transformation skills with an in-depth knowledge of ETL/ELT and Dataflows/Data-Pipelines/SSIS/ Power-Automate. Understanding of artificial intelligence, machine learning, data processing, fundamental data structures, and algorithms. Advanced understanding of Enterprise Data Architecture platforms, concepts, patterns, standards and medallion architecture. Ability to conceptualize complex ideas into the key artifacts required to develop data architectures that are consistent with organizational enterprise architectural standards and technology strategy. Ability to think from various points of view (including end-user, architecture, development, and tester) in terms of access to data, application usability, performance, configuration, data governance, and data-quality stewardship. Skills in data-architecting measures, source system mapping, reporting definitions/algorithms/counting methodologies. Advanced knowledge of analytical tools such as Python/R. Knowledge in architecting, engineering, designing, developing, testing, maintaining, and datamining. Experience with implementing business vision, strategy, roadmaps, governance, and quality methods/practices. Experience with Master Data Management (MDM), data governance. Excellent communication and interpersonal skills, ability to collaborate effectively with internal and external partners. Total Rewards: Comprehensive Health, Dental and Vision Benefit Plan. 24/7 Employee and Family Assistance Program. Premium Defined Benefits Pension Plan Automatic Enrollment. Three Paid Personal Days (Pro-Rated for Year 1). Accrued vacation time starting at three weeks per year. PERKS! Employee Promotional Programs relating to personal phone plans, furniture, home/car insurance, travel, fitness, attractions and more! Tuition reimbursement and opportunities for learning and development. At Ornge, we are: Community connectors. Equity in healthcare. Strong in our convictions. Proud of the services we provide. Uplifting in our mission, values, and services. You can expect us to be: Competitive in pay, benefits, vacation time and more. Promoters of diversity. Champions of inclusivity and accessibility. Committed to your career advancement. A tight-knit, supportive culture. A bit about you: You are driven by our collective desire to make a difference. Excited by problem solving and excels at in-the-moment decision making. Teamwork has always been where you thrive. You are ready to put your skills into action in a fast-paced environment. What’s next: If you are ready to uplift lives, apply directly online. On apply, we’ll send you an email on how to check your application status within Jobvite. Ornge is committed to providing accessible accommodations in compliance with Accessibility for Ontarians with Disabilities Act (AODA). Should you require accommodation through any stage of the recruitment process, please email us at HR@ornge.ca. Ornge encourages applications from candidates identifying as a member of a traditionally underrepresented group including First Nations, Métis, Inuit, and urban Indigenous peoples; Francophone persons; Black and racialized persons; members of 2SLGBTQIA+ communities; and persons with disabilities. Ornge communicates with candidates for job openings by email and does not incorporate AI technology in its recruitment process. Applicants are responsible to check their email for updates and ensure they can receive messages from unfamiliar senders. We send time-sensitive information via email; it is important for applicants to check their email frequently. If we do not receive a response from applicants, we will assume that they are no longer interested in the position, resulting in the removal of their application from the competition. Are you ready to pursue a career that has a profound impact on communities across Ontario, Canada? Join us. Ornge. Lives uplifted.
Ce que vous ferez
The Data Architect is responsible for designing, implementing, and managing the Enterprise Data Architecture to optimize data management and integration. This includes developing data strategies, creating high-quality data pipelines, and ensuring adherence to data governance and security standards.
Exigences
Requires a Bachelor's degree in Computer Science or a related field with 7-9 years of experience in Enterprise Data Architecture. Candidates must have strong proficiency in APIs, MS Fabric, Azure, and data transformation tools like SSIS or Power-Automate.
Avantages
• Health Benefit Plan • Dental Benefit Plan • Vision Benefit Plan • Employee and Family Assistance Program • Defined Benefits Pension Plan • Paid Personal Days • Vacation Time • Employee Promotional Programs • Tuition Reimbursement
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Enterprise Data Architecture
- Data Modeling
- API Design
- ETL/ELT
- MS Fabric
- Azure Data Architecture
- Python
- R
- Data Governance
- Master Data Management
- SQL
- NoSQL
- Data Pipeline Development
- Conceptual/Logical Modeling
- Data Integration
- Cloud Analytics
Renseignements supplémentaires
- Formation minimale
- Baccalauréat
- Expérience minimale
- 5+ ans