Sr. Data Solutions Architect
New
CanadaFull-TimeSenior
Salary170,000 - 180,000 CAD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLAzureData engineeringPySpark
Requirements
- 7+ years of experience in data architecture or solutions architecture roles with strong hands-on engineering delivery experience.
- Deep expertise in Microsoft Fabric, including Lakehouse, Warehouse, Pipelines, Notebooks, and OneLake.
- Strong proficiency across the Azure data ecosystem, including ADF, Synapse, Databricks, ADLS Gen2, and Azure SQL.
- Advanced programming skills in Python and/or PySpark, along with strong SQL capabilities for analytics workloads.
- Experience implementing data governance and cataloguing solutions using Microsoft Purview.
- Strong knowledge of data engineering patterns, including ETL/ELT, batch processing, and real-time streaming architectures.
- Experience designing and operating data platforms such as data lakes, warehouses, and unified analytics systems.
- Familiarity with relational and NoSQL databases, as well as modern cloud-native data technologies.
- Strong understanding of data governance concepts such as lineage, security, compliance, anonymization, and lifecycle management.
- Excellent communication and consulting skills, with proven experience in client-facing technical delivery environments.
- Ability to mentor engineers, produce technical documentation, and influence architectural decisions.
Responsibilities
- Lead the end-to-end architecture and delivery of cloud-based data platforms, with a focus on Microsoft Fabric and Azure data services.
- Design scalable solutions across Lakehouse, Data Warehouse, Real-Time Intelligence, and data engineering pipelines.
- Provide technical leadership to data engineering teams, guiding implementation, priorities, and best practices throughout project execution.
- Facilitate technical discovery sessions, whiteboarding workshops, and architecture design discussions with clients and internal teams.
- Translate business requirements into detailed technical roadmaps, architecture artifacts, and implementation plans.
- Identify and manage technical risks, ensuring transparency and alignment with stakeholders as projects evolve.
- Oversee data governance, lineage, quality, and security frameworks using tools such as Microsoft Purview.
- Ensure delivery excellence by enforcing CI/CD, DevOps, and infrastructure-as-code practices across data solutions.
- Maintain strong client relationships as a trusted advisor, ensuring expectations are aligned and deliverables meet business outcomes.
View Full Description & ApplyYou'll be redirected to the employer's site
