Senior Data Architect - SDA 26-06002

Job Title: Senior Data Architect

Location: Edmonton, AB (Remote – Canada Only)
Duration: 12 Months

Project Overview

A large public sector organization is seeking a Senior Data Architect to support enterprise data initiatives under a major data transformation program. The role focuses on advancing a unified data strategy through initiatives such as enterprise data integration, crosswalk frameworks, and modern data platform enablement.

The organization is implementing a Data Fabric / Data Mesh architecture across cloud and on-premise environments to manage, govern, and deliver high-value data assets. These assets include analytical models, dashboards, and data services that support policy, analytics, and legislative functions.

This role will provide architectural leadership to ensure data assets are scalable, secure, interoperable, and aligned with enterprise standards while enabling data-driven decision-making.

Role Overview

The Senior Data Architect will lead enterprise data architecture, guide data product development, and support the evolution of a Data Centre of Excellence. This role requires deep expertise in modern data platforms, cloud technologies, and data governance, along with strong stakeholder engagement and leadership skills.

Key Responsibilities

Architecture & Strategy Leadership

• Lead enterprise and solution architecture for data platforms and AI-enabled data products
• Design scalable data solutions across cloud and hybrid environments (e.g., Azure, Snowflake, Cloudera)
• Define enterprise data models, architecture standards, and best practices
• Translate business requirements into secure, scalable architecture solutions
• Provide thought leadership in data management, analytics, and AI-driven architectures

Data Platform & Product Enablement

• Design and deliver data products within Data Fabric/Data Mesh frameworks
• Implement data integration, linkage, and crosswalk frameworks
• Establish data quality, metadata management, and governance frameworks
• Develop semantic layers and reusable data models
• Build and validate proof-of-concept solutions, including AI-driven use cases

Stakeholder Engagement & Advisory

• Facilitate workshops, discovery sessions, and stakeholder discussions
• Provide architectural recommendations to leadership and delivery teams
• Present solutions to senior stakeholders and governance bodies
• Build consensus across technical and business teams

Governance, Standards & Innovation

• Define and promote best practices in data governance and secure data sharing
• Support cloud adoption and data modernization initiatives
• Evaluate emerging technologies (AI/ML, automation frameworks)
• Ensure compliance with security, privacy, and data standards

Delivery Support & Collaboration

• Collaborate with architects, engineers, and data teams
• Review data models, pipelines, and architecture designs
• Ensure scalability, performance, and sustainability of solutions
• Track deliverables, risks, and dependencies

Leadership & Enablement

• Mentor and coach team members
• Promote a data-driven and innovation-focused culture
• Support organizational adoption of modern data practices

Deliverables

• Architecture designs, data models, and solution blueprints
• Data product and platform design artifacts
• Proof-of-concept implementations (including AI-driven solutions)
• Documentation for integration patterns, semantic layers, and data frameworks
• Regular status reports and project updates

Work Arrangement

• 100% remote within Canada
• Occasional onsite meetings in Alberta (if required)
• Travel and related expenses are not reimbursed
• Candidate must provide their own equipment
• Standard working hours: 08:15 – 16:30 (Alberta Time), Monday–Friday

Mandatory Qualifications

Candidates must meet one of the following:

• Degree + 6 years of Data Architect experience
• Diploma + 8 years of experience
• Certificate + 9 years of experience
• OR 10+ years of relevant experience

Required Experience:

• 5+ years in data architecture and enterprise solution design
• 5+ years in data integration, system architecture, and deployment processes
• 5+ years working across multiple architecture domains (data, application, security, etc.)
• 5+ years designing complex systems in large enterprise environments
• 3+ years experience communicating complex data concepts to stakeholders

Nice-to-Have Skills

• Experience with cloud data platforms (Snowflake, Azure, Cloudera)
• Data Fabric / Data Mesh architecture experience
• AI/ML, MLOps, and advanced analytics architectures
• Data migration and legacy modernization
• API design, data integration, and semantic layer development
• Experience with enterprise architecture frameworks (TOGAF, Zachman, etc.)
• Data governance, security, and privacy frameworks
• Public sector experience
• Experience with Responsible AI practices (bias detection, explainability, etc.)

For more details reach at resumes@navitassols.com.