Company

Government

DataArchitect-Senior

CA$135–185k ~AI est. Edmonton, Alberta, Canada; Canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Government
Problems you'll solve

Data profiling; Data validation

Eligibility Requirements

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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