Omm IT Solutions | Permanent W-2 Employee / Corp2Corp Contractor

Consulting Senior Data Architect (Microsoft Fabric Focus)

Job Type Permanent W-2 Employee / Corp2Corp Contractor

Compensation Negotiable

City Montreal

Country Canada

Work Authorization Others

Job Opening ID Omm2870J

Job Description
PLEASE NOTE:

It is a 100% Remote position in Canada.

Candidates Preferred fromEST/CST TimeZone.

JOB SUMMARY:

We are seeking a Consulting Senior Data Architect with deep, production-grade Microsoft Fabric experience to accelerate our active rollout of Fabric for customer-facing and revenue-impacting digital products hosted in Azure. This is a hands‑on role responsible for designing and building Fabric artifacts (pipelines, lakehouses, eventstream/real‑time patterns), defining data architecture standards (conceptual/logical/physical), and implementing governance and security guardrails that scale across multiple product teams.

Key Responsibilities
Microsoft Fabric Enablement (Hands-onDelivery + Standardization)

Architectand implement Fabric solutions for data engineering (Spark), DataFactory pipelines , and real-time analytics / Event streams aligned to digital product needs.

Buildand standardize Fabric patterns for ingestion, transformation, and servingacross workloads including operational analytics, near-real‑time, batch, and data science/ML.

Createrepeatable reference implementations for common digital product scenarios(IoT telemetry, time series, transactional + event fusion, documents,geospatial).

Unified Data Platform Architecture (TargetState + Roadmap)

Produceand maintain the target‑state architecture for Fabric‑based dataplatform capabilities.

Define domain‑oriented data product patterns including howshared/enterprise datasets are curated and reused.

Establisharchitectural boundaries and integration guidance for shared datasets vs.product‑owned datasets.

Data Modeling Standards (Conceptual / Logical/ Physical)

Defineand enforce data modeling standards and templates appropriate to FabricLakehouse/Warehouse patterns and product analytics needs.

Providemodeling guidance for high‑variance data types (telemetry, geospatial,documents) and hybrid operational‑analytics use cases.

Definestandards for schema evolution, versioning, and contract‑first datainterfaces (where applicable).

Governance, Security, and Compliance byDesign

Designand implement a governance model covering classification, retention,lineage, and auditability.





Ensurecompliance guardrails are built into delivery patterns and operationalprocesses to meet GDPR, ISO 27001, and data residency requirements.

Defineand enforce Fabric access controls using Entra ID, RBAC, and workspace‑level controls (including guidance for separationofduties and least privilege).

CI/CD + Infrastructure as Code (IaC) forFabric

Defineand implement a CI/CD approach for Fabric artifacts as theenterprise source of truth.

Establishrelease patterns for Fabric changes (promotion strategy, environmentseparation, approvals, and quality gates) aligned to platform standards.

ManageFabric‑related platform configuration using Terraform as the IaCapproach (including reusable modules/patterns).

Creategolden path templates and guidance that product teams can adopt withminimal friction.

Capacity Planning, Cost Model, andChargeback/Show back

DesignFabric capacity strategy (SKU sizing, workload isolation, scaling model)to support multiple products reliably.

Defineguardrails and operational practices that reduce waste and improvepredictability.

Reliability, Observability, and OperationalReadiness

Definereliability patterns and operational standards for data pipelines andreal‑time workloads.

Integratelogging/monitoring with Log Analytics and security monitoring with Sentinel, including alerting and incident response considerations.

Defineand operationalize data quality SLAs (freshness, completeness,accuracy, timeliness) and embed quality checks into delivery pipelines.

Consulting Engagement + Governance Forums

Participatein architectural governance and provide architecture review/sign‑off, withauthority to mandate standards when necessary to protect platformintegrity

Partnerclosely with platform engineering to align patterns across identity,network, DevOps, and security.

Working Style & Mindset

Hands‑onarchitect: you can design and buildthe critical Fabric artifacts to prove patterns.

Platform‑oriented: you think in reusable standards, templates, and repeatable governance.

Strongconsultative presence: you can advise productteams while also driving decisions and outcomes.





Comfortablewith authority: you can mandatestandards when required to protect the platform and business.

Documentationdiscipline: you produce transparent ADRs, standards,and operating playbooks.

Supportsproduct teams through office hours and project‑based sprints.

Worksprimarily with: Azure lead architect, security architect/engineer, DevOpsplatform engineer, and product engineering teams.

Dataownership remains with product teams; this role defines the how(standards/patterns/governance), not centralized ownership.

Requirements
You will be accountable for producing thefollowing:

Target‑statearchitecture

Domain‑orienteddata product patterns and operating guidance

Governancemodel: classification, retention, lineage,access controls

Fabricworkspace strategy + operating model (environments,isolation, ownership, lifecycle)

CI/CDapproach for Fabric artifacts integrated withplatform guardrails

IaCapproach using Terraform for Fabric‑relatedconfiguration and

Costmodel + capacity planning strategy (SKU sizing,isolation, show back/chargeback)

ArchitectureDecision Records (ADRs) for key platformdecisions

Qualifications:
Required Experience & Skills

ProvenMicrosoft Fabric production implementations you have delivered Fabric solutions that run in production with realoperational constraints.

Deephands‑on expertise in Fabric areas central to our rollout:

DataFactory (pipelines)

Real‑timeanalytics / Event Streams

Strongarchitecture capability across mixed data types: transactional,telemetry/events, documents, geospatial, time series.

Demonstratedexperience implementing and governing:

Datamodeling standards (conceptual/logical/physical)

Datagovernance (classification, retention, lineage)

Securitypatterns using Entra ID , RBAC, workspace‑level controls

Complianceguardrails for GDPR, ISO 27001, and data residency

StrongDevOps fluency:

CI/CDpatterns and operational delivery

Terraform as mandatory IaC for repeatability and standardization

Abilityto define standards and enforce guardrails while maintaining adelivery‑first, pragmatic approach.

Preferred

Experiencesupporting IoT and telemetry‑heavy product ecosystems.

Experiencedesigning data quality frameworks and SLAs for operational analytics andnear-real‑time processing.

Familiarityintegrating observability/security signals into Log Analytics and Sentinel.

Education/Work Experience
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📌 Omm2870J (Ontario)
🏢 Omm IT Solutions
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