Company
Government
DataArchitect-Senior
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Architect - Senior. Skills: Data architecture, Data engineering, Data modeling, ETL/ELT development. Lead design and implementation of enterprise data architecture. Support modernization of legacy reporting systems”
What You'll Achieve.
Improving data governance; Improving data accessibility
Industry & Context.
Data profiling; Data validation
Occasional onsite presence in Edmonton
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science or equivalent experience, 5+ years of experience in software or data architecture roles, Proven experience designing scalable data solutions, Background in data modeling, schema design, Hands-on experience with ETL/ELT development, Experience with cloud or hybrid environments, Familiarity with API design, RESTful services, Experience implementing secure architecture practices, Exposure to CI/CD pipelines, Understanding of enterprise architecture frameworks
Nice to Have
Public sector or regulated environments experience, Communication skills to translate technical concepts into business value, Experience working with UX, service design, or human-centered design teams
What You'll Do.
Lead design and implementation of enterprise data architecture
Support modernization of legacy reporting systems
Review and analyze existing data marts
Conduct detailed data profiling
Design specifications
Create mapping documents
Develop and support ETL processes
Develop and support staging layers
Develop and support data integration pipelines
Support testing and validation of data models
Ensure quality assurance for facts and dimensions
Build reporting validation
Assist with reporting validation
Maintain and evolve data architecture standards
Maintain and evolve data architecture principles
Maintain and evolve data architecture governance practices
Contribute to enterprise architecture alignment
Ensure consistency with organizational data strategies
Provide architectural guidance
Provide documentation
Provide consultation to project teams
Provide consultation to stakeholders
Participate in design reviews
Ensure adherence to data governance standards
Ensure adherence to integration standards
Support transition planning from legacy data structures
How You'll Work.
Team & Collaboration
Project teams; Stakeholders; Architecture stakeholders; Engineering stakeholders; Analytics stakeholders
Communication Scope
Translate technical concepts
Full Job Description
## Accountabilities In this role, you will lead the design and implementation of enterprise data architecture solutions while supporting the modernization of legacy reporting systems into an integrated data warehouse environment. Review and analyze existing data marts and conduct detailed data profiling across multiple justice datasets Define data models, design specifications, and mapping documents for facts and dimensions Develop and support ETL processes, staging layers, and data integration pipelines Support testing and validation of data models, including quality assurance for facts and dimensions Build and assist with reporting validation (including Power BI outputs) for analytical use cases Maintain and evolve data architecture standards, principles, and governance practices Contribute to enterprise architecture alignment, ensuring consistency with organizational data strategies Provide architectural guidance, documentation, and consultation to project teams and stakeholders Participate in design reviews and ensure adherence to data governance and integration standards Support transition planning from legacy data structures to target-state architecture Requirements: The ideal candidate brings deep experience in enterprise data architecture and data engineering within complex environments, ideally involving large-scale system modernization. Bachelor’s degree in Computer Science or equivalent experience 5+ years of experience in software or data architecture roles within enterprise environments Proven experience designing scalable data solutions, including data warehouses and integration frameworks Strong background in data modeling, schema design, and relational/non-relational databases Hands-on experience with ETL/ELT development and data pipeline design Experience with cloud or hybrid environments, including containerization and infrastructure-as-code practices Familiarity with API design, RESTful services, and system integration patterns Experience implemen
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