Data Architect – Senior

SereneAID

Edmonton

Hybrid

CAD 110,000 - 170,000

Full time

3 days ago

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Job summary

SereneAID is seeking a Senior Data Architect to lead data architecture for the JIMS 3.0 project, including data modeling, ETL guidance, and governance across an enterprise data warehouse and data marts.

The role combines remote work with Edmonton onsite meetings about 15% of total hours; 36.25 hours per week. Contract duration is approximately 1,805.25 hours with potential extension up to 24 months.

Qualifications

5+ years defining data architecture.
Strong experience designing data warehouses/data marts.
Solid SQL/database development experience.
Knowledge of Azure data architecture (cloud).
Public-sector experience is a plus.
Understanding of FOIP/privacy requirements is advantageous.

Responsibilities

Define and manage data architecture principles and standards.
Develop current-state and future-state data architecture and transition plans.
Ensure alignment with Government of Alberta Enterprise Architecture & IMT strategies.
Provide data architecture guidance to project teams and stakeholders.
Create data mapping, models, and transformation specs for JIMS 3.0.
Support data governance, quality, and regulatory compliance.

Skills

Kimball modeling

Data warehouse design

SQL

Azure / cloud

Data governance

Public-sector experience

Stakeholder communication

Education

Post-secondary degree in Computer Science/IT

Tools

JOIN

JIMS

Power BI

Job description

Project: Justice Information Management System (JIMS 3.0)

Location: Primarily Remote – Canada; Edmonton onsite meetings as required

Onsite Requirement: Approximately 15% of total hours

Hours: 36.25 hours/week

Contract: Approximately 1,805.25 hours, with potential extension up to 24 months

Role Overview

The Government of Alberta – Justice is seeking a Senior Data Architect to support the Justice Information Management System (JIMS 3.0) project.

JIMS 3.0 is a major data integration and modernization initiative designed to consolidate multiple existing court-data reporting marts into an integrated Enterprise Data Warehouse (EDW) and supporting data marts and reporting views.

The Senior Data Architect will be responsible for defining the data architecture, developing dimensional data models, profiling and analyzing source data, designing data mappings, supporting ETL development, and ensuring data quality and governance. The resource will work closely with technical teams, business stakeholders, and enterprise architecture teams to transition existing court-data environments toward the JIMS 3.0 target architecture.

The ideal candidate will have strong Kimball dimensional modeling, data warehouse, SQL, Azure/cloud, data architecture, and public-sector experience. Experience with JOIN, JIMS, court data, and Justice environments is highly desirable.

Key Responsibilities

Define, document, and manage data architecture principles, strategies, standards, models, guidelines, and plans.
Develop current-state and future-state data architecture and transition plans.
Ensure data architecture aligns with Government of Alberta Enterprise Architecture (GAEA) and IMT strategies.
Define enterprise data requirements and architectural standards.
Provide data architecture guidance and consulting to project teams.
Participate in architectural and solution design reviews.
Identify opportunities to improve data reuse, sharing, governance, and standardization.
Ensure data architecture reduces unnecessary data redundancy.
Support the enterprise architecture team with data architecture initiatives.

Data Modeling & Data Warehouse

Apply Kimball dimensional modeling principles to design enterprise data marts.
Develop conceptual, logical, and physical data models.
Identify and define appropriate Facts, Dimensions, measures, attributes, keys, and relationships.
Review and update existing data models.
Develop data structures required for the JIMS 3.0 EDW.
Define data warehouse and data-mart architecture patterns.
Create detailed data mapping and transformation specifications.
Ensure historical data is appropriately preserved and managed.

Data Profiling & Analysis

Perform detailed profiling of source data and database tables.
Analyze existing JIMS and related data marts.
Identify data-quality issues, inconsistencies, redundancies, and gaps.
Analyze business rules and relationships within court data.
Map source data to target EDW structures.
Validate data definitions and business rules with stakeholders.

ETL & Data Integration

Design, develop, and test ETL/ELT processes.
Support data extraction, transformation, staging, and loading.
Validate transformed data against business requirements.
Troubleshoot data integration and transformation issues.
Support minor fixes and enhancements to existing data marts.

Power BI & Reporting

Develop Power BI reports for testing and validation purposes.
Use reporting outputs to validate Facts, Dimensions, measures, and business rules.
Support interactive reporting requirements.
Validate data quality and completeness through reporting.
Collaborate with reporting and BI teams to ensure data structures support analytical requirements.

JOIN & JIMS

Analyze and update existing JOIN (Justice Online Information Network) data models.
Incorporate new Fact attributes and required data structures.
Work with JIMS data and structures.
Understand and document business rules associated with judicial processes.
Support integration of court-related data into the enterprise data warehouse.

Data Governance & Quality

Promote practices that improve data quality, consistency, and governance.
Establish and enforce data standards and architectural guidelines.
Support information-management requirements.
Ensure data architecture considers privacy, security, and information-management policies.
Identify and resolve data-quality risks.
Support compliance with applicable Government of Alberta policies and directives.

Stakeholder Management

Communicate complex technical concepts to non-technical stakeholders.
Facilitate data architecture discussions and design reviews.
Provide recommendations and influence technical/business decisions.
Work with architects, developers, data engineers, BI professionals, business analysts, and Justice stakeholders.
Provide guidance and mentorship to project team members.
Document lessons learned and provide recommendations at project closeout.

Requirements

Required Skills & Experience

Must-Have

5+ years of demonstrated experience defining data architecture.
Strong experience designing and implementing data warehouse/data-mart architectures.
Strong understanding of enterprise data architecture principles and practices.

2. Kimball Architecture

5+ years of experience using Kimball architecture to develop data marts.
Strong knowledge of:
- Dimensional modeling
- Star schemas
- Facts and Dimensions
- Measures
- Slowly Changing Dimensions
- Surrogate keys
- Historical data management
- Data marts
- Enterprise Data Warehousing

3. SQL & Database Development

Completed formal training in structured query languages, specifically one or more of:

Microsoft T-SQL
Oracle
PL/SQL

Strong practical SQL/database development experience is required.

Training within the past 5–10 years related to:

Cloud Computing

Knowledge of modern Azure data architecture is strongly preferred.

5. Education

Post-secondary degree or diploma in:

Computer Science
Information Technology
Cybersecurity
or a related discipline

Equivalent experience may be considered; formal education is strongly preferred.

6. Public-Sector Experience

2+ years working in or with public-sector environments.
Understanding of public-sector constraints and requirements.
Awareness of privacy legislation such as FOIP.
Experience working within government information-management environments is preferred.

Nice-to-Have Skills

Data Modeling Tools – 5+ Years

Experience using one or more: