Data Architect

Haivision Systems Inc.(“Haivision”) (TSX: HAI),a leading global provider of mission-critical, real-timevideo networkingand visual collaborationsolutions.

About Haivision

Haivision (TSX: HAI) is a leading global provider of mission-critical, real-time video networking and visual collaboration solutions.Haivision enables organizations globally to engage audiences, enhance collaboration, and support decision-making.Haivisionprovides high-quality, low-latency, secure, and reliable livevideoata global scale.Haivisionopen-sourced its award-winningSRT low-latency video streaming protocoland founded theSRT Allianceto support its adoption.Awardedfour Emmys for Technology and Engineering from the National Academy of Television Arts and Sciences, Haivision continues to fuel the future of IP video transformation. Founded in 2004,Haivisionis headquartered in Montreal and Chicago with offices, sales, and supportlocatedthroughout the Americas, Europe, and Asia. To learn more, visitHaivisionat

Job Summary:

Haivision’s data ecosystem is evolving rapidly, with multiple operational systems, reporting platforms, and growing business intelligence needs across the organization. As data becomes increasingly central to decision-making, we are seeking a hands‑on Data Architect who will define, build, and own the organization’s modern data platform and analytics architecture.

This is not a purely strategic or oversight role. The successful candidate will actively design, develop, and implement the solutions they architect. You will work directly with executives and business stakeholders to gather requirements, define business metrics, establish governance standards, and build scalable data solutions that enable trusted, self‑service analytics across the organization.

As a trusted advisor, you will help define and drive Haivision’s data strategy while establishing best practices for data architecture, ETL/ELT development, governance, documentation, and reporting standards. You will play a key role in creating a trusted single source of truth for business reporting and ensuring that users can confidently access and understand enterprise data.

Responsibilities

• Define and drive the organization’s data strategy, ensuring alignment with business goals and long‑term scalability
• Design, build, and own the end‑to‑end data platform, including data pipelines, storage, semantic layers, and reporting models
• Establish and maintain a trusted single source of truth for key business metrics across systems
• Work directly with executives and business stakeholders to gather requirements and translate them into scalable data solutions
• Partner with business leaders to define, standardize, and align reporting metrics with organizational goals
• Design, develop, and optimize Power BI dashboards, semantic models, and governed datasets to enable self‑service analytics
• Build and maintain enterprise data models, metadata frameworks, and a comprehensive data dictionary to improve data accessibility and understanding across the organization
• Design, develop, and maintain robust ETL/ELT pipelines and integrations across multiple business systems
• Optimize data systems and architecture for performance, scalability, reliability, and cost efficiency
• Ensure data quality, integrity, governance, and security across the organization, including compliance considerations where applicable
• Establish standards and best practices for data modeling, ETL/ELT development, reporting, governance, and documentation
• Influence and promote data best practices across teams and stakeholders without direct authority
• Collaborate with cross‑functional teams to align data architecture with operational and strategic business objectives
• Evaluate and recommend new tools, technologies, and approaches to enhance the organization’s data ecosystem
• Manage multiple initiatives and ensure delivery of high‑quality, scalable solutions within agreed timelines

Skills and Qualifications

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, or a related field
• Minimum of 7+ years of experience in data architecture, data engineering, business intelligence, or a similar role
• Strong hands‑on experience with Power BI, including semantic modeling, DAX, dataset design, and dashboard/report development
• Deep hands‑on expertise in ETL/ELT architecture, design, and implementation
• Strong experience designing and building enterprise data warehouses and scalable data platforms
• Strong SQL skills and experience working with large, complex datasets
• Proven experience establishing data standards, governance frameworks, and reporting best practices
• Experience creating and maintaining enterprise data dictionaries and metadata frameworks
• Experience defining and implementing trusted reporting metrics and semantic layers
• Experience with Salesforce data models and data structures – nice to have
• Strong understanding of data governance, data quality, security, and compliance best practices
• Proven ability to translate business requirements into scalable technical solutions
• Excellent communication and stakeholder management skills, including experience working directly with executive leadership
• Ability to communicate complex technical concepts clearly to non‑technical audiences
• Self‑starter with the ability to operate effectively in a hands‑on, fast‑paced environment
• Experience with modern data integration and analytics technologies

If you are a qualified and interested candidate for this position, please submit your resume to View email address on ca.talent.com. Please indicate clearly which position you are applying for. We look forward to hearing from you. For more company information, please visit

Or send your application to View email address on ca.talent.com