Azure Data ArchitectAstra North Infoteck Inc. • Brampton, ON, ca
Azure Data Architect
Astra North Infoteck Inc. • Brampton, ON, ca
1 day ago
Job type
- Full-time
- Quick Apply
Job descriptionEstablish dimensional (Kimball), 3NF, and Data Vault models where appropriate; promote semantic models for BI (Power BI / Fabric). Define ingestion and processing patterns (batch, streaming, CDC, micro batch) and file format standards (Parquet, Delta Lake, Avro). Set coding standards and performance guidelines for SQL, T SQL, PySpark, and Spark SQL. Architect robust ETL / ELT pipelines with ADF / Synapse Pipelines, Fabric Data Factory, Databricks Workflows, and orchestration using ADF triggers and Logic Apps. Integrate data from ERPs / CRMs, SaaS applications, APIs, and on prem systems via Self hosted Integration Runtime, Event Hubs, Kafka, Service Bus, and Change Data Capture tools. Implement data governance (catalogs, lineage, glossary, ownership) using Microsoft Purview; establish data mesh guardrails and federated governance practices. Enforce security using Azure AD (Entra ID), RBAC / ABAC, Managed Identities (MSI), Key Vault, Private Endpoints, VNet integration, row / column level security, dynamic data masking, and encryption at rest / in transit. Define data quality, master / reference data practices, and support audit, retention, and regulatory requirements. Design for scalability and resilience (partitioning, caching, Z ordering, concurrency control, workload isolation). Tune Spark and SQL workloads; optimize storage layouts; configure auto optimize / auto compaction strategies (e.g., Delta). Own FinOps for data platforms : capacity planning, cost governance, tagging, budgets / alerts, and rightsizing. Establish CI / CD for data and infrastructure using Azure DevOps or GitHub Actions, with Terraform / Bicep and deployment strategies (blue green, canary). Implement monitoring and alerting with Azure Monitor, Log Analytics, Fabric / Databricks observability, and custom dashboards; define SLOs / SLIs for data pipelines. Define backup & disaster recovery strategies and RPO / RTO targets for critical datasets. Lead data architecture governance and design reviews; mentor data engineers and analysts. Partner with Product, Security, Enterprise Architecture, and Business stakeholders to align roadmaps and priorities. Drive vendor / tool evaluations, proofs of concept, and build vs buy decisions. 7+ years in data architecture / engineering, including 3–5 years with Azure data services. Hands on expertise with several of the following : Strong data modeling (dimensional, 3NF, Data Vault) and ELT / ETL design. Proficient in SQL, T SQL, PySpark; solid understanding of metadata management and lineage. Security & networking basics : AAD, RBAC, VNets, Private Endpoints, Key Vault, Managed Identities. IaC & DevOps : Terraform / Bicep, Git, Azure DevOps / GitHub, automated testing for data pipelines. Experience with data mesh and lakehouse patterns; MLOps handoffs (Feature Store, Model Registry). Performance engineering at large scale (TB–PB). Knowledge of data quality frameworks (e.g., Great Expectations, Deequ) and DQ scorecards. Exposure to Microsoft Purview (catalog, classifications, policies). Familiarity with privacy / compliance (SOX, HIPAA, GDPR, PCI). Work with project teams throughout the organization to design, implement, and manage CDN infrastructure using Akamai, to ensure high availability, performance, and scalability for customer facing applications and business processes. Handle multiple priorities and assignments with excellence and precision. Be a part of a 24 / 7 / 365 organization (some after hours support is expected as part of normal on-call rotation). Directly support line of business development teams, provide guidance to them on implementation and changes for customer facing applications Develop and maintain security protocols and measures to protect CDN infrastructure from cyber threats. Monitor and analyze network performance, identifying and resolving issues to optimize content delivery of critical applications. Collaborate with cross-functional teams to integrate Akamai CDN solutions with existing systems and applications. Collaborate with information security teams to implement DDoS protection strategies and other security measures in the CDN. Provide technical support and guidance to clients and internal teams regarding CDN and security best practices. Work closely with vendor and professional service teams on delivery related activities and strategy. Qualifications : Bachelor’s degree in Computer Science, Information Technology, or a related field. OR similar work experience. Strong understanding of network protocols (HTTP / HTTPS, DNS, TCP / IP). Proven experience as a CDN Engineer or similar role, with a strong focus on cybersecurity. In-depth knowledge of Content Delivery Network technologies, including caching, load balancing, and content optimization. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Experience supporting 24 / 7 / 365 customer facing applications at enterprise scale. Awareness and experience with cybersecurity tools and practices, such as firewalls, intrusion detection / prevention systems, and encryption. Proficiency in scripting and automation (e.g., Python, Bash) a plus. Relevant certifications (e.g., CISSP, CEH) are a plus but not required.
Job Description
Azure Data Architect
Brampton - Hybrid (2-3 days from Office)
Experience Range : 8+ years
1) Architecture & Solution Design
- Define end to end data platform reference architectures using Azure services such as Azure Synapse / SQL, Microsoft Fabric (Lakehouse, Warehouse, Semantic Models), Databricks, Azure Data Lake Storage Gen2, Data Factory / Synapse Pipelines, Event Hubs / Kafka, and Stream Analytics.
- Select appropriate storage and compute patterns (e.g., lakehouse, data mesh, medallion zones, Delta format) aligned to use cases, SLAs, and scalability needs.
- Produce and maintain HLD / LLD, Architecture Decision Records (ADRs), ERDs, and interface / API specifications.
________________________________________
2) Data Modeling & Engineering Patterns
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3) Data Integration & Pipelines
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4) Governance, Security & Compliance
________________________________________
5) Performance, Reliability & Cost Optimization
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6) DevOps, CI / CD & Observability
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7) Leadership & Collaboration
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Skills & Experience
Required
o Azure Synapse Analytics / Azure SQL
o Microsoft Fabric (Lakehouse, Warehouse, Semantic Models / DAX)
o Databricks (Spark, Delta Lake, Unity Catalog), PySpark / Spark SQL
o ADLS Gen2, Data Factory / Synapse Pipelines / Fabric Data Factory
o Event Hubs, Service Bus, Kafka, Stream Analytics, CDC tools
Preferred
Requirements
Experience (Years) : 4-6 Essential Skills :
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Azure Data Architect • Brampton, ON, ca
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