PLEASE NOTE:

• 
  It is a 100% Remote position in Canada.
• 
  Candidates Preferred from EST/CST Time
  Zone.

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.