Senior Data Architect

Data Architect – Senior (GOAPRDJP00000869)

Client: Government of Alberta

Work Location: 9940 – 106 St, Edmonton, AB (100% Remote)

Estimated Start Date: April 13, 2026

Estimated End Date: March 31, 2027

Business Days: 251

Hours: 7.25 hours per day (fully remote)

Deadline: Wednesday, March 25, 2026, 4:00 PM EST

About The Role

Senior Data Architect with strong enterprise‑data, cloud‑data‑platform, and analytics experience to lead the Government of Alberta’s data architecture for integrated application and reporting ecosystems. This remote role provides architectural and technical leadership across data models, governance, migration, and lakehouse design, ensuring high‑quality, secure, and compliant data for business and analytics platforms. The candidate will define end‑to‑end data architecture, design data models aligned with Microsoft Power Platform, Azure, Dataverse, and Dynamics 365, lead data‑migration and data‑quality efforts, and support reporting/analytics (e.g., Power BI) and governance activities.

Must Haves

Architecture & Leadership

• Experience defining and documenting data architecture, including data requirements, strategies/plans, architecture, design principles, models, and integration diagrams.
• Experience leading solution architecture and design on cloud and key data platforms, ensuring alignment with business requirements.
• Experience leading design and governance of schemas, tables, relationships, security roles, and data‑access patterns.
• Experience guiding platform/infrastructure teams to configure data‑platform services (e.g., Azure, Microsoft 365, Dynamics) to meet solution requirements.
• Experience reviewing and approving vendor‑delivered data designs, strategies, and implementations.
  
  

Enterprise Data Architecture

• Experience defining end‑to‑end data architecture across integrated applications and systems.
• Experience developing conceptual, logical, and physical data models aligned with platform standards, enterprise data policies, and Dataverse data modeling.
• Experience working with Microsoft Dynamics 365, Power Platform, Azure, and Fabric to design how data is organized, stored, and integrated across the Microsoft cloud ecosystem.
• Experience architecting integrations between solution and external systems (legacy platforms, document repositories, etc.), ensuring security, privacy, and auditability requirements are met.
  
  

Data Migration & Quality

• Experience serving as a data‑migration lead: mapping data from legacy platforms to new applications, ensuring accurate lineage, transformations, and alignment with new data models.
• Experience collaborating with vendors to validate mapping logic, support build activities, and ensure technical feasibility of data mappings.
• Experience designing extraction, transformation, cleansing, and validation approaches for data migration, including parallel‑run and cutover strategies.
• Experience defining data quality standards, validation rules, and acceptance criteria and supporting business validation, sampling, and exception management.
  
  

Data Lakehouse & Analytics

• Experience defining data‑warehouse / lakehouse architecture and requirements, including storage, archival, and retrieval strategies for both legacy and new system data.
• Experience using Microsoft Azure tools (Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks) to build modern data warehouses and lakehouses.
• Experience designing data‑mesh or lakehouse architectures using Azure technology to unify data‑management and analytics.
• Experience ensuring data‑architecture alignment between operational systems and reporting/analytics environments (e.g., Power BI, internal dashboards).
  
  

Governance & Compliance

• Experience ensuring data‑architecture compliance with enterprise privacy, records‑management, retention, and access‑control policies.
• Experience defining and enforcing data classification, retention schedules, and information‑lifecycle‑management within platforms and integrated systems.
• Experience collaborating with security, privacy, and records‑management teams to implement governance controls and supporting audits and architectural‑assurance processes.
  
  

Delivery & Agile Oversight

• Experience providing architecture oversight across Agile delivery cycles, embedding data considerations early in backlog refinement and design.
• Experience participating in sprint planning, backlog grooming, and design reviews from a data‑architecture perspective.

Interested in remote work opportunities in Development & Programming? Discover Development & Programming Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.

• Experience identifying dependencies, risks, and constraints impacting data‑related timelines and supporting realistic sequencing and release planning.
  
  

Key Responsibilities

Architecture Leadership

• Define and document data‑architecture artifacts (data requirements, strategies, design principles, models, and integration diagrams).
• Lead solution‑architecture and design on cloud and core data platforms, ensuring alignment with business needs.
• Lead schema, table, relationship, security‑role, and data‑access‑pattern design and governance.
• Guide infrastructure teams on configuring data‑platform services (e.g., Azure, Microsoft 365, Dynamics) to meet solution requirements.
• Review and approve vendor‑delivered data designs and implementations.
  
  

Enterprise Data Architecture

• Define end‑to‑end data architecture across all integrated applications and systems.
• Develop conceptual, logical, and data models aligned with enterprise data policies and platform standards (including Dataverse).
• Ensure architectural alignment across system modules, integrated applications, Power Platform components, Azure, and downstream reporting environments.
• Establish data‑architecture principles and standards consistent with Government of Alberta architecture frameworks.
• Architect integrations between solution and external systems, including legacy platforms and document repositories, ensuring security, privacy, and auditability.
  
  

Data Migration

• Lead data‑mapping activities from legacy platforms to new applications, ensuring accurate lineage, transformations, and alignment with new data models.
• Collaborate with vendors and business areas to define data rules, resolve data gaps, and ensure mappings support functional, operational, and reporting needs.
• Lead data‑migration strategy, including extraction, transformation, cleansing, and validation approaches.
• Ensure data integrity, traceability, and reconciliation throughout migration and support parallel‑run and cutover strategies to minimize business disruption.
  
  

Data Lakehouse – Architecture & Design

• Define data‑warehouse / lakehouse approach and architecture, including storage, archival, and retrieval strategies for legacy and new system data.
• Use Microsoft Azure services (Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks) to build a modern data‑lakehouse for big‑data processing and analytics.
• Design data‑mesh or lakehouse architectures using Azure technology to unify data management and analytics across platforms.
  
  

Data Quality & Readiness

• Define data‑quality standards, validation rules, and acceptance criteria for migrated and operational data.
• Support business validation activities (sampling, reconciliation, exception management) and ensure data readiness for user acceptance testing, training, and go‑live.
• Identify and mitigate data‑related risks early in project lifecycle.
  
  

Data Governance & Compliance

• Ensure data‑architecture and platform designs comply with Government of Alberta policies for privacy, records management, retention, access control, and other regulatory requirements.
• Define and enforce data classification, retention schedules, and information‑lifecycle‑management practices.
• Collaborate with security, privacy, and records‑management teams to implement governance controls and support audits and compliance reviews.
  
  

Reporting & Analytics Enablement

• Ensure data architecture supports effective reporting and analytics, including dashboards and Power BI.
• Define data flows into reporting platforms and downstream analytics environments.
• Ensure consistency between operational and analytical data models.

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• Implement security measures such as anonymization and access‑restriction for sensitive data, limiting access to specific individuals or groups.
  
  

Delivery Oversight & Vendor Collaboration

• Provide architecture oversight across Agile delivery cycles, ensuring data considerations are embedded in backlog refinement and design reviews.
• Identify dependencies, risks, and constraints impacting data‑related work and support realistic sequencing and release planning.
• Collaborate with project stakeholders and vendors, translating technical data concepts, risks, and recommendations into clear, actionable guidance for business and executive decision‑makers.
• Document technical recommendations and architecture decisions.
  
  

Equipment & Remote Work

• Contractor must provide their own computer and equipment (Windows or macOS), compatible with Azure Virtual Desktop (AVD) and related remote‑access software.
• Windows is preferred for better compatibility with AVD and government‑related tools.
• AVD and remote‑access software will be installed on the contractor’s machine.
• Role is 100% remote; in the event of onsite meetings, Government of Alberta will not cover travel, relocation, or incidental expenses.
  
  

Position Details

• Fully remote: work from anywhere with access to Azure Virtual Desktop and required government systems.
• Duration: 251 business days (Apr 13, 2026 – Mar 31, 2027).
• Senior Data Architect role focused on enterprise data architecture, cloud (Azure, Microsoft 365, Dynamics, Power Platform), data migration, lakehouse design, and governance for the Government of Alberta.
  
  

Required Qualifications

Senior Data Architects with:

• Strong enterprise‑data‑architecture experience, including conceptual, logical, and physical modeling and governance.
• Proven experience with Microsoft Azure data services (Data Lake Storage, Synapse Analytics, Databricks) and data‑lakehouse/mesh patterns.
• Experience with Microsoft Dynamics 365, Power Platform, Dataverse, and Azure‑based analytics/reporting ecosystems.
• Experience leading data‑migration and data‑quality initiatives for large‑scale projects.
• Experience implementing data‑governance, security, and compliance controls aligned with public‑sector policies.
• Strong collaboration and communication skills to translate complex data‑architecture concepts for business and executive stakeholders.
  
  

Submit by Wednesday, March 25, 2026, 4:00 PM EST to:

rohitbindal@smsoftconsulting.com or hrsmss@smsoftconsulting.com

Mandatory Submission Documents

• Updated Resume in Word format
• Skills Matrix and References
• Expected hourly rate
• Visa Status
• LinkedIn ID
  
  

For Daily Updates, Join Our WhatsApp Group

https://chat.whatsapp.com/KCmWoqPlxWvAZmyXLcd8or

Apply Online

Note

• 100% remote; no travel or relocation‑cost coverage if onsite meetings are required.
• Only shortlisted candidates with required skills will be contacted.
• Email is the best way to reach the recruitment team.