Azure Data Architect - Brampton - Astra North Infoteck Inc.

    Astra North Infoteck Inc.
    Astra North Infoteck Inc. Brampton

    1 day ago

    $90,000 - $140,000 (CAD) per year *
    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


    • Establish 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.
    ________________________________________
    3) Data Integration & Pipelines


    • 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.
    ________________________________________
    4) Governance, Security & Compliance


    • 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.
    ________________________________________
    5) Performance, Reliability & Cost Optimization


    • 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.
    ________________________________________
    6) DevOps, CI/CD & Observability


    • 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.
    ________________________________________
    7) Leadership & Collaboration


    • 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.
    ________________________________________
    Skills & Experience

    Required


    • 7+ years in data architecture/engineering, including 3–5 years with Azure data services.

    Hands on expertise with several of the following:
    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


    • 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.

    Preferred


    • 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).
    * This salary range is an estimation made by beBee
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