Job Title : Senior Data Warehouse/BI Architect
Location : Burnaby, BC
Work Setting : Hybrid, Monday to Friday. This role requires working onsite at our Burnaby, BC office
four days per week , with one day per week working from home.
Compensation : $140,000k CAD
Data Warehouse / BI Architect
Our mission is to improve outcomes for Chronic Care patients who are dependent on multiple daily medications. Our proprietary and vertically integrated EMR and RCM technology solutions enable providers to enhance medication adherence through improved access, owned physician network, information sharing, data analytics, and customizable insights.
We are looking for a highly skilled and experienced Data Engineer / Architect to join our team. In this role, you will be responsible for architecting and developing enterprise data models, data governance frameworks, ETL/pipelines, and analytics/reporting platforms to support performance measurement and business intelligence solutions for clinical, operation, finance and other revenue generated product lines.
Responsibilities
Design, build, and maintain data models to support metadata governance, request submissions, audit tracking, version control, and production publishing pipelines.
Architect multi-stage models for metadata lifecycle management, including intake submissions, staging, review, audit trail snapshots, approval tracking, and final publishing structures.
Develop and maintain ETL pipelines for metadata ingestion, transformation, validation, auditing, staging, and publishing processes supporting multi-layered data warehouse architectures.
Apply hybrid cloud integration expertise utilizing Azure SQL, Azure Data Factory, Databricks, Synapse Analytics, Azure Fabric and any other approved tools to develop and support scalable data pipelines and platform modernization initiatives.
Collaborate closely with business stakeholders to gather requirements and translate functional business needs into scalable technical data solutions.
Build Power Platform integrations (Power BI, PowerApps, Power Automate) connecting to data repository and cloud data services; implement identity-based row-level filtering using Power Platform user context for submission-level security and role-based access control.
Maintain fully auditable data models including metadata change tracking, approval lineage, governance version control, and compliance documentation to support ATO certification, PMO audit packages, and federal regulatory standards.
Conduct advanced query tuning, stored procedure optimization, index management, query plan evaluation, blocking and deadlock resolution, and performance troubleshooting across large data platforms.
Develop and maintain comprehensive technical documentation including data dictionaries, entity-relationship diagrams (ERDs), data flow diagrams, process workflows, system architecture diagrams, metadata catalogs, data lineage models, dependency mappings, and PMO governance documentation packages.
Provide full lifecycle production support including ETL pipeline monitoring, failure remediation, long-running job resolution, scheduled job support, troubleshooting, and incident management across data environments.
Qualifications
Required Skills and Experience
Bachelor's degree in Computer Science, Information Technology, or related field with 15+ years (or commensurate experience)
10+ years of experience in relevant database development, data architecture, and ETL design.
8+ years of experience in data warehouse architecture, metadata governance, and analytics platforms.
Cloud experience with Azure.
Proficiency in Azure Data Factory, Databricks, Synapse Analytics, and hybrid cloud integration for modernizing ETL pipelines.
Experience with Azure DevOps for version control, CI/CD pipeline automation, and release management.
Experience with additional data platforms including Sql Server, Azure SQL, Mongo DB, Databrick.
Power Platform experience integrating Power BI, PowerApps, and Power Automate into enterprise reporting and data governance solutions.
Knowledge of metadata-driven design patterns, audit trail frameworks, and enterprise governance architecture aligned to federal PMO standards.
Strong technical documentation skills, including ERDs, data dictionaries, data flows, and process mapping.
Strong experience in performance tuning, query optimization, and long-running job remediation.
Excellent troubleshooting, problem-solving, and analytical skills across full data pipeline lifecycle.
Familiarity with federal compliance frameworks (ATO, FISMA, NIST 800-53, FedRAMP).
Expert in both relational data modeling and Star Schema
Skills Considered a Plus:
Microsoft Fabric platform (Power BI Premium, Data Warehousing, RLS security models).
Additional experience with MongoDB or Azure SQL
Python, PowerShell, or other scripting for ETL and automation.
experience working within federal data governance or VA PMO environments.
Job Types: Full-time
Pay: Competitive pay and benefits and invaluable startup stock options
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A healthcare technology company in Burnaby is seeking a Senior Data Warehouse/BI Architect to lead the design and development of enterprise data models and ETL pipelines. The ideal candidate will have over 15 years of experience in data architecture and a strong background in Azure technologies, including Azure Data Factory and Databricks. This hybrid position requires onsite work four days a week. The role offers a competitive salary and stock options, contributing to improving outcomes for chronic care patients. #J-18808-Ljbffr
Advance your career as a Senior Data Warehouse & BI Architect focused on building innovative data solutions in a hybrid work setting. Your expertise will drive impactful decisions in healthcare by enhancing data accessibility and governance.
In this role, you’ll leverage your extensive background in data warehouse architecture to develop and maintain effective ETL processes that support business intelligence efforts. Your collaborative work with stakeholders will ensure the alignment of technical solutions with strategic goals. This is your chance to innovate within the healthcare sector through data integration and governance.
Key Responsibilities:
• Design enterprise data models supporting governance
• Build ETL processes leveraging Azure Data tools
• Collaborate with teams to gather technical requirements
• Conduct performance tuning and issue resolution
• Maintain comprehensive technical documentation
Requirements:
• 15+ years in a related field with a degree
• 10+ years in data architecture and ETL design
• Cloud experience specifically with Azure
• Proficiency in Power Platform and Azure DevOps
• Strong analytical and problem-solving skills
Play a key role in enhancing data infrastructure and governance to drive better healthcare outcomes through innovative solutions.
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A healthcare technology company seeks a passionate individual for the role of Talent Acquisition Partner. Located in Burnaby, BC, this full-time position involves supporting and developing RCM software using Golang and MongoDB. Candidates should thrive in a team environment and possess a strong problem-solving ability. You will engage in architectural design and code reviews to ensure innovative solutions that enhance patient care. Join a mission-driven firm aiming to improve medication adherence for chronic care patients. #J-18808-Ljbffr
Base Pay Range
$120,000.00/yr - $175,000.00/yr
Talent Acquisition Partner at Altea Healthcare
Location:
This role is onsite at our office in Burnaby, BC.
Job Type:
Full-Time
Compensation Range:
$120,000-$175,000 CAD, depending on experience.
Our mission is to improve outcomes for Chronic Care patients who are dependent on multiple daily medications. Our proprietary and vertically integrated EMR technology solutions enable providers to enhance medication adherence through improved access, owned physician network, information.
Your Role
Support, design and develop RCM software covering the full stack Golang, React (TypeScript), Mongo DB.
Brainstorm with your team to conceptualize and build new features.
Experience with the Azure-based infrastructure and help us to leverage cloud technologies to ensure we can scale in line with customer adoption.
Partner with business analysts and other developers in order to fully understand product requirements and implement solutions which meet these requirements.
Provide technical leadership including architecture design, coding, code review, practices and skills development.
Candidate Profile
You thrive in a team environment but can also work independently.
You are passionate about using your technical knowledge and skills to solve real business problems and are motivated by understanding the value that your work adds.
A self‑starter that can manage their own workload and an ever‑growing task list.
A team player and leader.
Problem solving of potential roadblocks which could potentially impact patient care, strategic, and technical goals of the business.
Very proficient with server‑side languages Golang.
Proficiency with MongoDB.
Working knowledge of relational databases such as SQL Server, Azure SQL.
You are passionate about creating innovative and exciting new technology and want to provide end users with the best possible experience.
Have experience with Software Development Lifecycle (SDLC) including system requirements collection, architecture, design, development, testing, maintenance and enhancement across a variety of technologies.
Skills
Required Experience:
Golang
Solid web service: RESTful and SOAP
Nice to have:
Data modeling, UML and Design Patterns
Seniority Level
Mid-Senior level
Employment Type
Full-time
Job Function
Information Technology and Engineering
Industries
Hospitals and Health Care
Referrals increase your chances of interviewing at Altea Healthcare by 2x.
Get notified about new Full Stack Engineer jobs in Burnaby, British Columbia, Canada.
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Join a team revolutionizing healthcare as a Machine Learning Engineer. Focus on deploying scalable GenAI solutions with a hybrid work model that supports collaboration and innovation.
In this role, you will contribute significantly to designing, implementing, and deploying AI/ML products aimed at improving post-acute care delivery. A strong background in GenAI applications and software engineering is crucial for success. You will work closely with cross-functional teams to develop high-quality, scalable applications that meet healthcare needs and drive impactful changes.
Key Responsibilities:
• Develop and deploy AI products focusing on scalability
• Collaborate with engineers for high-quality product delivery
• Drive product lifecycle from concept to production
• Incorporate feedback to refine ML applications
• Maintain best software engineering and MLOps practices
Requirements:
• 2+ years as an ML or Software Engineer
• Experience with Azure DevOps and GenAI applications
• Strong background in software engineering and MLOps
• Bachelor's/Master's in Computer Science or equivalent
• Preferred experience with healthcare data
Leverage your expertise to shape innovative AI solutions that enhance patient care quality.
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Job Title:
Machine Learning Engineer, GenAI
Location:
This role requires working onsite at our Burnaby, BC office
four days per week , with one day per week working from home. (Hybrid)
We also consider exceptional candidates for remote work flexibility in Canada.
Compensation:
$145-170k CAD
ALTEA Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient and post‑acute care. We are seeking a Machine Learning Engineer to join our team. The ideal candidate will have a strong background in developing and shipping scalable GenAI solutions. We have shipped a suite of rich GenAI products, with many more exciting products on the way. As an important member of the AI team, this person will contribute significantly to designing, implementing, deploying, and iterating on AI/ML products that help care providers improve care delivery and quality for post‑acute patients.
Responsibilities:
Develop and ship AI products, with a focus on scalability and monitoring.
Collaborate with MLEs, front-end, and back-end engineers to deliver high-quality products/apps.
Drive products from 0 to 1 (from business requirements to production deployment).
Incorporate feedback from cross-functional teams and refine ML-driven applications through quick iteration cycles.
Maintain best software engineering and MLOps practices within the healthcare industry.
Document and optimize system architecture, design decisions, and codebase to facilitate future maintenance and enhancements.
Sample day-to-day work:
Including, but not limited to:
Write, test, and debug production-ready code
Review and approve PRs
Troubleshoot and resolve production issues and user feedback
Work with external teams (frontend, backend, product) to design/optimize AI products
Scale products to more regions and end-users
Update documentation and track progress on tickets
Assist with ad-hoc scripts when needed
Core qualities that will thrive here:
Ownership: Own project end-to-end, ensuring accuracy, timeliness, and alignment with business goals; drives clarity, follows through on commitments, manage dependencies from other teams, and be accountable for outcomes and quality.
Problem solving: Enjoy identifying root causes, solving complex technical problems, and proactively proposing scalable improvements.
Contribution to team: Actively supports teammates through PR reviews, collaboration, knowledge sharing, and constructive feedback.
Product-driven mindset: Enjoy creating impactful products from 0 to 1 in a fast-paced environment.
Tech savvy: Enjoy tinkering with the latest technologies and maximizing use of AI assisted tools while keeping security and quality considerations in mind.
Azure DevOps (Git repos, CI/CD pipelines, PR, app services), LangGraph/Langchain, LangSmith, Github Copilot/Cursor/Claude
Key Qualifications:
Proven experience in deploying, scaling, integrating, and maintaining GenAI applications using Azure DevOps, Azure App Services, and Azure Functions.
Strong understanding and experience in software engineering and MLOps best practices.
Experience with unit testing and regression testing to ensure quality and stability.
Experience working with full-stack/front-end/back-end engineers to build products. Product-oriented mindset.
Note: This role is specifically focused on the deployment and integration of GenAI applications. It is not intended for data scientists, dashboard-builders, or those with purely model development experiences.
Other Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience
At least 2 years of post‑education, non‑internship experience as an ML Engineer or Software Engineer.
Experience with multi-agent RAG systems
Strong interest in healthcare, with preferred experience working with healthcare data
Job Type: Full-time
Pay: Competitive pay, benefits, and extremely valuable startup stock options
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