At a Glance
- Tasks: Lead the migration of data and applications to Azure Databricks while conducting hands-on analysis and coaching.
- Company: Join a forward-thinking tech firm focused on modernizing enterprise solutions.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Work remotely from Quebec and enjoy a collaborative team culture.
- Why this job: Make a significant impact by shaping the future of analytics architecture in a dynamic environment.
- Qualifications: 15+ years in IT with extensive experience in application architecture and cloud migrations.
The predicted salary is between 123750 - 151250 $ per year.
The client is modernizing an on-premises enterprise solution and needs the architect who will lead the migration of data, processing and application components to an Azure Databricks platform. The role is hands-on: current and target state analysis, data models, POCs, code reviews, developer coaching and effort estimation.
The profile must meet two distinct layers: the framework agreement profile 3-4 requirements, focused on application architecture (SOA, commercial software integration, implementation strategies, executive documents), and the mandate-specific requirements, focused on modern analytics architecture and big data. A data architect without documented application work fails the first layer; an application architect without Lakehouse or Spark fails the second. Level 2 security clearance from the ministère de la Sécurité publique and Quebec-only remote work narrow the pool further.
Target candidate: an application architect with 15+ years in IT, including at least 7 in architecture, who has led at least two large-scale cloud migrations and designed a Lakehouse architecture on Databricks and Spark from a SQL Server, SSIS or .NET legacy. They document, mandate by mandate, their system architecture, SOA and commercial software integration roles, and bring hands-on graph database and IaC experience.
Key Requirements:
- Modern analytics architecture design (Data Lake, Lakehouse, Data Warehouse, Medallion)
- Processing and analysis of very large data volumes (Big data)
- Mastery of Spark and distributed processing
- Mastery of pragmatic migration patterns
- Rapid proofs of concept (POC)
- Hybrid solutions (cloud and on-premises)
- At least 2 large-scale data or application cloud migration mandates
- Knowledge of Databricks, Python and .NET
- Graph database design and operation (complex relationship analysis)
- Cloud deployment and configuration automation through Infrastructure as Code (IaC)
Professional skills:
- Teamwork
- Autonomy
- Rigour
- Leadership
- Mobilization
- Tolerance for ambiguity and stress
Requirements ASSET:
- DevSecOps practices
- Ability to explain technology in plain terms
- Defining architectural vision in an Agile organization
Profiles to Exclude:
- Data architect or engineer without documented SOA, commercial software integration or implementation strategy mandates.
- .NET application architect without demonstrated Databricks, Spark or Lakehouse projects.
- Profile citing Azure or Databricks with a single cloud migration mandate, or a migration without documented scale.
- Profile citing a graph database without demonstrated design and operation in a mandate.
- Resume without dates, clients or scale per mandate, preventing completion of the Excel grid criterion by criterion.
- Candidate unable to work remotely from Quebec or declining the security clearance process.
Specialist in Application Architecture and BI, Expert in Québec employer: Maarut
At Maarut, we pride ourselves on being an exceptional employer in Ottawa, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through mentorship opportunities and professional development programs tailored for actuarial leaders. With a focus on strategic impact and a supportive environment, we empower our team to make meaningful contributions while enjoying the unique advantages of working in Canada's vibrant capital.
