Data Architect - Senior

Buzzclan

NULL, NULL(remote)

JOB DETAILS
SKILLS
Analysis Skills, Architectural Design, Architectural Services, Artificial Intelligence (AI), Business Strategy, Cloud Architecture, Cloud Computing, Cloudera, Coaching, Communication Skills, Computer Software, Continuous Improvement, Data Analysis, Data Management, Data Modeling, Data Processing, Data Profiling, Data Quality, Data Science, DataArchitect Data Modeling Tool, Desktop Virtualization, Ecosystems, Emerging Technology, Enterprise Architecture, Government, Hybrid Cloud, Information/Data Security (InfoSec), Interoperability, Leadership, Mac Operating System, Machine Learning, Mentoring, Metadata, Microsoft Windows Azure, Microsoft Windows Operating System, Multiplatform/Cross-Platform, Network Operations Center, Office Equipment, Operating Systems, People Management, Presentation/Verbal Skills, Printers, Privacy Controls, Product Development, Proof of Concept, Quality Management, Remote Access, Reporting Dashboards, Requirements Management, Requirements Validation/Verification, Snowflake Schema, Software Administration, Strategic Planning, Sustainability, Technical Analysis, Thought Leadership, Use Cases, Willing to Travel, Work From Home
LOCATION
NULL, NULL
POSTED
3 days ago
Description:

Project Name:
One Data Alberta Program and Crosswalk
Scope:
The Data Centre of Excellence (DCoE) requires a Senior Data Architect to support the delivery of key roadmap items for the OneData Alberta and Crosswalk initiatives.

The Government of Alberta s approach to OneData Alberta and Crosswalk initiatives is enabled through a cloud-based and on-premise Data Fabric and/ Data Mesh framework for organizing, managing, and delivering enterprise data assets. The DCoE is responsible for delivering high-value data assets and services such as analytical models, dashboards, and visualizations to support critical analytical, policy, and legislative functions. This role is essential to ensuring these data assets are architected, governed, and delivered in a scalable, secure, and sustainable manner.

This position provides senior-level architectural leadership and strategic direction across the OneData Alberta and Crosswalk initiatives. It includes leading foundational activities for Data Access such as schema analysis, data profiling, and the development of enterprise data architecture, enterprise data models, data quality (DQ) frameworks, and metadata standards. The role also guides the design and implementation of data linkages and crosswalk frameworks, enabling integrated and interoperable data across a federated data ecosystem, and supporting the development of strategic data assets for OneData Alberta.

As a Data Architect, this role contributes deep expertise in modern data platforms, architectures, and data product development practices. It supports the evolution of a Data Centre of Excellence that delivers reusable, high-quality data products and services, enabling improved data access, advanced analytics, and data-informed decision-making across the organization.

The role works closely with leadership, architects, delivery teams, and external partners to enable a federated data ecosystem. It requires strong stakeholder engagement, including facilitating discussions, mediating complex data relationships, and building consensus among diverse technical and business groups.

This position plays a key role in advancing the cultural shift toward treating data as a strategic enterprise asset, fostering innovation, and ensuring alignment between business priorities and data technology solutions.

Duties:
General Responsibilities (any or all):
Architecture & Strategy Leadership
Lead the design and delivery of enterprise and solution architecture for data platforms, AI-enabled data products, and data integration solutions across platforms such as Snowflake, Microsoft Azure, and Cloudera
Provide architectural guidance in cloud environments, including solution design for AI-enabled data products, agentic frameworks, secure data sharing frameworks, and data linkage capabilities
Define and govern enterprise data models, architecture standards, and best practices
Translate business strategies and priorities into scalable, secure, and high-performing data architecture solutions
Provide thought leadership in Data Management, Analytics, and AI-driven architecture
Data Platform & Product Enablement
Support the design, development, and delivery of data products within Data Fabric and/or Data Mesh frameworks across Snowflake, Microsoft Azure, and Cloudera environments
Guide the implementation of data linkages, crosswalk frameworks, integration patterns, and secure data sharing frameworks to enable consistent, governed, and reliable data exchange
Establish frameworks for data quality, metadata management, and AI-enabled data assets
Contribute to the design of semantic layers and data models that support reusable and interoperable data products
Develop and validate proof-of-concept solutions, including data integration, orchestration, and AI-enabled and agentic use cases
Stakeholder Engagement & Advisory
Lead workshops, discovery sessions, and stakeholder engagements to define and validate requirements and business value
Provide architectural consultation and recommendations to leadership, project teams, and stakeholders
Prepare and deliver presentations to steering committees and senior stakeholders
Facilitate alignment and consensus on complex data, AI, and technology solutions across diverse stakeholder groups
Governance, Standards & Innovation
Define and promote best practices in data governance, data sharing, secure data exchange, data integration, and data quality
Support data modernization initiatives, including cloud adoption, platform transformation, and AI enablement across Snowflake, Microsoft Azure, and Cloudera
Evaluate and recommend emerging technologies, including AI and agentic frameworks, to optimize data product delivery, interoperability, and cost efficiency
Ensure alignment with enterprise priorities, including security, privacy, information management, data classification, and secure data sharing standards
Delivery Support & Collaboration
Collaborate with data architects, engineers, scientists, and product teams to ensure consistent architecture and design across initiatives
Review solution designs, data models, and pipelines across cloud and hybrid platforms, providing guidance on optimization, scalability, and performance
Support the development of sustainable and scalable processes for data product delivery
Manage tasks, track action items, and escalate risks or issues as required
Coordinate inputs, approvals, and sign-offs across stakeholders and departments
Leadership & Organizational Enablement
Coach, mentor, and support team members in developing innovative data and AI-driven solutions
Promote a client-centric, service-oriented delivery approach
Foster a culture of innovation, continuous improvement, and data as a strategic asset
Build and maintain strong relationships with internal and external stakeholders
Deliverables
Architecture designs, models, and recommendations aligned with project and enterprise needs
Data product, AI solution, and platform design artifacts across Snowflake, Microsoft Azure, and Cloudera
Proof-of-concept implementations, including AI-enabled and agentic use cases, and technical assessments
Documentation supporting data linkages, semantic layers, integration patterns, and secure data sharing frameworks
Weekly and monthly status reports
Additional deliverables as defined by project and client teams

Equipment Requirements:
Resource will require own equipment
Resource must provide their own computer and related equipment. The computer's operating system must be a modern version of Windows or MacOS that is compatible with Azure Virtual Desktop (AVD) and related software for remote access. Windows is preferred due to better compatibility. AVD/remote-related software will be installed on the resource's computer.

In the event that the Contractor s resources are directed to work remotely, the Contractor shall be responsible for providing all of its equipment, including computers, software, printers, supplies, desks and chairs. However, the Province shall ensure that the Contractor s resources have the necessary access and credentials to the Government of Alberta s system.
The fixed rate quoted must be inclusive of all overhead, office space and equipment, including supplies, administrative burden, mark-up and all other costs to perform the Services for the duration of the Contract.

Working Hours:
Standard Hours of work are 08:15 16:30 Alberta time, Monday through Friday excluding holidays observed by the Province
Work must be done from within Canada, due to network and data security issues.
It is anticipated the role will be 100% remote, however in the event of an onsite meeting, the GoA does not pay for travel to attend on-site meetings, nor any expenses related to relocation, commuting, housing/accommodation, food/drink.

Notes on Location:
This resource will primarily work remotely; however, the resource may be required to attend meetings or work sessions in office on reasonable notice from the Province. At the time of providing such notice, the Province will advise of the expected duration of any such meetings or work sessions. However, time to travel and any associated expenses to and from Edmonton and/or travel within Alberta will be at no cost to the Province.

Incumbency:
This is a net new role.
Background Check Required:
Standard Background Check:
The Supplier shall, prior to commencement of the Services, provide the Province, on its request and at no cost to the Province, with criminal record checks.
Mandatory Training Courses:
Once hired the resource will be required to complete all mandatory training which includes but not limited to Freedom of Information and Protection of Privacy Act and Security awareness training. There may also be some optional courses as well.
Anticipated Interviews Dates
Interviews are expected to happen approximately 2 weeks after the posting closes.
Refer to the Job Posting attachments for the proposed form of contract applicable to this Contingent Resource Request
Scoring Methodology:
Financial/Pricing: 20%
Resource Qualifications: 20%
Interview Process: 60%

SUBMISSION MUST INCLUDE:
RESUME
ALL REQUIRED EXPERIENCE MUST BE DESCRIBED IN RESUME UNDER THE JOB/PROJECT WHERE EXPERIENCE WAS ATTAINED.
EACH JOB/PROJECT MUST CONTAIN THE TERM OF THE JOB/PROJECT IN THE FORMAT MMM/YYYY to MMM/YYYY.
RESOURCE REFERENCES
o Three references, for whom similar work has been performed, must be provided. The most recent reference should be listed first. Reference checks may or may not be completed to assist with scoring of the proposed resource.

Additional Details

  • Payment Terms : Y030 - within 30 days Due net|Y015
  • Maximum Extension Term (Months) : 12
QualificationAssessment
Must Have
Education
Education - Degree, Diploma, Certification (Senior DA) - Yes/No
Yes
Work Experience
Duration - Experience dealing with clients and explaining complex data principles in a thoughtful...
3 years
Duration - Experience defining technical architecture, data integration, supporting software...
5 years
Duration - Experience designing, planning, implementing and supporting infrastructure and...
5 years
Duration - Experience in multiple architecture domains e.g. business, application, technology...
5 years
Duration - Experience modelling complex business processes and translating them into...
5 years
Nice to Have
Work Experience
Duration - Demonstrated ability to lead initiatives, facilitate workshops, and communicate effect...
5 years
Duration - Direct, hands-on experience in business requirements analysis, architecture and design...
5 years
Duration - Direct, hands-on experience leading business requirements analysis, solution architect...
5 years
Duration - Experience designing and delivering scalable, reusable data products (e.g., curated da...
5 years
Duration - Experience designing architectures that support machine learning, data science, and ad...
5 years
Duration - Experience designing solution architectures for AI-enabled data products, including...
3 years
Duration - Experience developing and delivering training materials and enabling teams on data,...
5 years
Duration - Experience with Big Data and cloud-based platforms (e.g., Snowflake, Microsoft Azure,...
5 years
Duration - Experience with enterprise architecture frameworks (e.g. The Open Group Architecture...
4 years
Duration - Experience working in or for the public sector.
4 years
Duration - Hands-on experience implementing data security and privacy controls, including policies..
5 years
Duration - Hands-on experience implementing enterprise data strategy, governance, and secure data...
5 years
Duration - Work experience with Responsible AI principles...
5 years

About the Company

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Buzzclan