Senior integrator-level data architect who aligns multiple delivery teams on a shared data integration vision, mentors other architects, defines integration strategy and roadmap, and mediates business and IT interdependencies in a scaled Agile context.
The client
is seeking an integrator-level data architect who ensures the consistency of
the architecture across multiple delivery teams working in parallel on
cross-functional data projects. The recurring terms (integrator,
cross-functional, interdependencies, architectural vision, communication,
simplification, business and IT challenges) indicate that the expected value
lies not in technical output, but in the ability to align, mediate, and bring
teams together around a shared vision.
The role requires a senior technical
leadership position: the candidate will mentor other architects and act as a
reference for the data integration strategy and roadmap. The key unspoken
requirement is the scaled Agile context, as train reporting follows a SAFe-type
approach, combined with the absence of a named technology stack, which leaves
technology sourcing open.
The desired combination, 10 years in data
architecture with 3 years of mentoring architects in an integration role,
within a Quebec City/Montreal area, targets a limited pool.
Requirements
WHAT WE
DON'T WANT
- Data
architect without experience in cross-functional integration between multiple
delivery teams in parallel.
- Profile
without experience in leading or coordinating other architects.
- Implementation-level
profile (ETL or BI developer) without architectural responsibility.
- Generalist
enterprise architect without a focus on data architecture.
- Profile
without a documented interface role between business and IT needs.
- Less than
10 years of experience in data architecture and analytics on your resume.
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Serve as the primary post-implementation contact for top customers, craft joint success plans, run executive business reviews and workshops, mentor teammates, support French-speaking customers, and advise on customizing Samsara’s IoT platform to drive safety, efficiency, and sustainability.
Top Skills:
IotSamsara PlatformVehicle TelematicsVideo-Based Safety
Gaming
Develop and deploy slot-game features in Unity and C#, including gameplay, UI/UX, engine systems, and creator tools. Build server-backend functionality, investigate and extend slot-engine systems, define technical tasks, and quickly resolve bugs. The role requires collaboration, strong communication, and delivery under deadlines, with opportunities to work on live mobile games and performance optimization.
Top Skills:
C#GitPHPUnity
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Drives sales and territory growth for Pfizer’s migraine therapy by engaging healthcare providers in person and virtually. Develops territory call plans, builds customer relationships, uses reports and analytics to identify opportunities, educates providers on approved product and disease-state information, collaborates cross-functionally, and completes administrative responsibilities compliantly. The role requires travel throughout the assigned Southern Maryland territory and occasional overnight stays.
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
