
Senior Data Solutions Architect – Azure
Carbon60
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇨🇦 Canada
Visit company websiteSalary
💰 CA$150,000 - CA$180,000 per year
Job Level
Senior
Tech Stack
AWSAzureCloudHadoopPySparkPythonSparkSQLUnity
About the role
- Lead enterprise-level data architecture across Azure Fabric/Synapse , Databricks
- Author and validate HLDs, LLDs, data models (Star/Snowflake), and architectural artifacts for Lakehouse solutions
- Define target state architectures aligned to modern best practices (Medallion Architecture, Data Mesh, Zero Trust for Data)
- Provide architectural oversight for large-scale data modernization projects (e.g., migrating legacy SQL/Synapse/Hadoop to Fabric or Databricks)
- Ensure technical integrity, performance optimization, and alignment with enterprise data patterns
- Guide data engineering teams, provide mentorship, perform code/design reviews, and support technical escalations
- Define data security baselines, RBAC models (Unity Catalog/Fabric capabilities), row-level security, and encryption standards
- Lead the implementation of Microsoft Purview for Fabric to govern data assets across hybrid and multi-cloud landscapes
- Ensure adherence to regulatory compliance (GDPR, CCPA, HIPAA) via automated scanning, classification, and lineage tracking
- Drive architectural decision-making, trade-off discussions and roadmap alignment
- Support presales at SME capacity: estimation, solutioning, and SOW definition for new data engagements
- Provide end-to-end technical leadership throughout the data program lifecycle.
- Mentor and upskill engineers and jr. architects on the transition to Azure Fabric and Databricks best practices
- Contribute to internal accelerators, frameworks, and reusable data processing templates.
Requirements
- 10+ years in data/cloud architecture, enterprise information architecture, or senior data engineering/BI roles
- 7+ years hands-on Azure Data experience, including data lake design, pipeline orchestration, data modeling, and complex migration
- Proven experience leading multi-workload, enterprise-scale data transformation or migration programs
- Good understanding of Databricks , including Delta Lake architecture, Spark optimization, Unity Catalog, and structured streaming
- Demonstrated expertise in Azure Fabric/AWS Lake Formation + Glue , including OneLake design, capacity management, and the unification of Data Engineering/Data Science workloads
- Strong background in Data Governance implementation using Microsoft Purview (cataloging, lineage, sensitivity labeling, and policy enforcement)
- Experience with modern data engineering patterns (Medallion Architecture, Data Mesh/Fabric concepts, CI/CD for Data, Python/PySpark, SQL)
- Prior consulting, professional services, or customer-facing data architecture experience required
- Strong communication, stakeholder management, and executive presentation skills.
- Certifications strongly preferred: DP-203 (Data Engineering), DP-600 (Fabric Analytics Engineer), AZ-305 (Solution Architect), Databricks Certified Data Engineer Professional.
Benefits
- Competitive compensation package (CAD 150K-180K / year)
- Retirement Savings Matching Program (RRSP)
- Access to the latest tech
- Partnership with Perkopolis Discounts
- Remote first work environment
- Flexible work hours & location
- Paid parental leave options
- Employer paid health & dental premiums
- GreenShield+ Counselling
- Mental Health $500 in Health Care Spending Account annually
- Training reimbursement (e.g courses on Udemy, Coursera, a-cloud-guru etc.)
- Peer recognition rewards
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data architecturedata modelingdata lake designpipeline orchestrationdata transformationdata governancePythonSQLPySparkSpark optimization
Soft skills
leadershipmentorshipcommunicationstakeholder managementexecutive presentationtechnical oversightcollaborationproblem-solvingdecision-makingtrade-off discussions
Certifications
DP-203DP-600AZ-305Databricks Certified Data Engineer Professional