PLEASE NOTE:
It is a 100% Remote position in Canada.
Candidates Preferred from EST/CST Time
Zone.
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-on
Delivery + Standardization)
Architect
and implement Fabric solutions for data engineering (Spark), Data
Factory pipelines, and real-time analytics / Event streams aligned to digital product needs.
Build
and standardize Fabric patterns for ingestion, transformation, and serving
across workloads including operational analytics, near-real-time, batch, and data science/ML.
Create
repeatable reference implementations for common digital product scenarios
(IoT telemetry, time series, transactional + event fusion, documents,
geospatial).
Unified Data Platform Architecture (Target
State + Roadmap)
Produce
and maintain the target-state architecture for Fabric-based data
platform capabilities.
Define domain-oriented data product patterns including how
shared/enterprise datasets are curated and reused.
Establish
architectural boundaries and integration guidance for shared datasets vs.
product-owned datasets.
Data Modeling Standards (Conceptual / Logical
/ Physical)
Define
and enforce data modeling standards and templates appropriate to Fabric
Lakehouse/Warehouse patterns and product analytics needs.
Provide
modeling guidance for high-variance data types (telemetry, geospatial,
documents) and hybrid operational-analytics use cases.
Define
standards for schema evolution, versioning, and contract-first data
interfaces (where applicable).
Governance, Security, and Compliance by
Design
Design
and implement a governance model covering classification, retention,
lineage, and auditability.
Ensure
compliance guardrails are built into delivery patterns and operational
processes to meet GDPR, ISO 27001, and data residency requirements.
Define
and enforce Fabric access controls using Entra ID, RBAC, and workspace-level controls (including guidance for separation of
duties and least privilege).
CI/CD + Infrastructure as Code (IaC) for
Fabric
Define
and implement a CI/CD approach for Fabric artifacts as the
enterprise source of truth.
Establish
release patterns for Fabric changes (promotion strategy, environment
separation, approvals, and quality gates) aligned to platform standards.
Manage
Fabric-related platform configuration using Terraform as the IaC
approach (including reusable modules/patterns).
Create
golden path templates and guidance that product teams can adopt with
minimal friction.
Capacity Planning, Cost Model, and
Chargeback/Show back
Design
Fabric capacity strategy (SKU sizing, workload isolation, scaling model)
to support multiple products reliably.
Define
guardrails and operational practices that reduce waste and improve
predictability.
Reliability, Observability, and Operational
Readiness
Define
reliability patterns and operational standards for data pipelines and
real-time workloads.
Integrate
logging/monitoring with Log Analytics and security monitoring with Sentinel, including alerting and incident response considerations.
Define
and operationalize data quality SLAs (freshness, completeness,
accuracy, timeliness) and embed quality checks into delivery pipelines.
Consulting Engagement + Governance Forums
Participate
in architectural governance and provide architecture review/sign-off, with
authority to mandate standards when necessary to protect platform
integrity
Partner
closely with platform engineering to align patterns across identity,
network, DevOps, and security.
Working Style & Mindset
Hands-on
architect: you can design and build
the critical Fabric artifacts to prove patterns.
Platform-oriented: you think in reusable standards, templates, and repeatable governance.
Strong
consultative presence: you can advise product
teams while also driving decisions and outcomes.
Comfortable
with authority: you can mandate
standards when required to protect the platform and business.
Documentation
discipline: you produce clear ADRs, standards,
and operating playbooks.
Engagement & Collaboration
Supports
product teams through office hours and project-based sprints.
Works
primarily with: Azure lead architect, security architect/engineer, DevOps
platform engineer, and product engineering teams.
Data
ownership remains with product teams; this role defines the how
(standards/patterns/governance), not centralized ownership.
Requirements
Required
Deliverables:
You will be accountable for producing the
following:
Target-state
architecture
Data
model standards: conceptual / logical /
physical + templates
Domain-oriented
data product patterns and operating guidance
Governance
model: classification, retention, lineage,
access controls
Fabric
workspace strategy + operating model (environments,
isolation, ownership, lifecycle)
CI/CD
approach for Fabric artifacts integrated with
platform guardrails
IaC
approach using Terraform for Fabric-related
configuration and
Cost
model + capacity planning strategy (SKU sizing,
isolation, show back/chargeback)
Architecture
Decision Records (ADRs) for key platform
decisions
Qualifications:
Required Experience & Skills
10+
years in data architecture/data engineering
roles, including platform-scale design.
Proven
Microsoft Fabric production implementations you
have delivered Fabric solutions that run in production with real
operational constraints.
Deep
hands-on expertise in Fabric areas central to our rollout:
Data
Engineering
Data
Factory (pipelines)
Real-time
analytics / Event Streams
Strong
architecture capability across mixed data types: transactional,
telemetry/events, documents, geospatial, time series.
Demonstrated
experience implementing and governing:
Data
modeling standards (conceptual/logical/physical)
Data
governance (classification, retention, lineage)
Security
patterns using Entra ID, RBAC, workspace-level controls
Compliance
guardrails for GDPR, ISO 27001, and data residency
Strong
DevOps fluency:
CI/CD
patterns and operational delivery
Terraform as mandatory IaC for repeatability and standardization
Ability
to define standards and enforce guardrails while maintaining a
delivery-first, pragmatic approach.
Preferred
Experience
supporting IoT and telemetry-heavy product ecosystems.
Experience
designing data quality frameworks and SLAs for operational analytics and
near-real-time processing.
Familiarity
integrating observability/security signals into Log Analytics and Sentinel.