Data/Information Architect
Job Description
Overview
The Data and Information Architect is a senior technical role responsible for the design, governance, and delivery of corporate certified datasets within the corporate data platform. This role combines deep data modelling expertise with strong delivery ownership, ensuring that complex datasets, including but not limited to project cost, timesheets, accounts payable, and financial summaries, are accurate, performant, and usable for business reporting and analytics. The Data and Information Architect serves as the primary point of accountability for data architecture decisions, dataset standards, and cross-functional data enablement across the organization.
This position sits at the intersection of technical architecture, data delivery, and business stakeholder enablement, and requires both a strong technical foundation and excellent collaboration skills.
Your role
Data Architecture & Modelling:
- Design, document, and maintain enterprise data models including star schema, fact/dimension structures, and normalized dataset architectures.
- Lead transformation from denormalized to normalized/star schema designs to improve data platform performance and end-user usability.
- Define and maintain metadata, column naming conventions, mapping documents, and dataset structures for Orb datasets (e.g., Project Cost Detail, Time Sheet Posted Detail, Project Financial Summary By Period, Project Non Labour Cost Detail).
- Establish data filtering logic, global rules, and architectural standards to control dataset scope and platform performance.
- Author and maintain enterprise data governance documents including Database Naming Conventions and Objects Naming Conventions (maintained since 2020, updated through 2025).
Data Product Ownership Curated Datasets:
- Own and drive the delivery of corporate datasets.
- Prioritize and sequence dataset deployments across pre-production, UAT, and production environments.
- Ensure source to platform data accuracy and alignment with corporate reporting requirements.
Technical Leadership & Delivery Coordination:
- Create and manage Azure DevOps work items, QA tasks, sprint planning, and release activities.
- Coordinate development, QA, and deployment across data engineers, analysts, and BI developers.
- Guide the team on data fixes, release readiness, and testing priorities.
- Act as a central point for resolving blockers and accelerating delivery across cross-functional teams.
- Participate actively in daily scrum ceremonies, sprint reviews, and delivery planning.
Data Quality, Validation & Issue Resolution:
- Guide the Data team to investigate and resolve data quality issues including mismatches, missing records, schema changes impacting pipelines, and large-volume data failures.
- Drive sanity checks, validation strategies, and QA alignment across the team.
- Ensure production data accuracy and consistency for business reporting and analytics.
- Respond to and resolve production incidents, refresh failures, and stakeholder-reported data issues.
Stakeholder Support & Data Enablement:
- Serve as the primary technical expert for business users seeking to understand dataset structure, column definitions, and correct usage of curated datasets.
- Guide stakeholders in selecting between raw and curated data layers based on their requirements.
- Support integration requests from downstream applications by providing dataset scoping, documentation, and access.
- Translate business requirements into actionable data architecture decisions and dataset deliverables.
Data Governance & Security:
- Implement and advise on enterprise data access controls, Row-Level Security (RLS) models, and security rules applied via dimension tables and Power BI semantic layers.
- Manage dataset access provisioning for users and service accounts.
- Maintain and evolve standardized security models, governance practices, and the Orb security toolkit.
Documentation & Standards:
- Author and maintain enterprise-wide technical documentation including database naming conventions, data architecture diagrams, and dataset mapping documents.
- Define and enforce object naming conventions for databases, schemas, tables, views, columns, indexes, and foreign keys across the Orb platform.
- Ensure documentation is kept current through active revision cycles.
Data Platform & Architecture:
- Microsoft Azure - Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake.
- Microsoft Fabric - Lakehouse, Data Warehouse, shortcuts, capacity planning, One Lake security.
- Data Platform Concepts - medallion architecture (raw, integrated/ODS, curated layers), delta mode processing.
- Star Schema/Dimensional Modelling - fact/dimension design, foreign key normalization, partition strategies.
- SQL Server/Azure SQL Database - schema design, views, stored procedures, indexes, constraints.
Business Intelligence & Reporting:
- Microsoft Power BI - semantic model design, Row-Level Security (RLS), DAX, Direct Query, shared datasets, Power BI Service.
- Azure Analysis Services - tabular models, semantic layers.
Data Engineering & Integration:
- Azure Data Factory (ADF) - ETL/ELT pipelines, data flows, triggers, CI/CD.
- Profisee - Master Data Management (MDM) tooling, data mastering workflows.
- Delta Lake - medallion architecture (bronze/silver/gold layers).
- Source-to-Raw (R2I) Mapping - data mapping, profiling, transformation rules.
DevOps & Project Management:
- Azure DevOps - work item management, sprint planning, release pipelines, repository management, Git integration.
Data Governance & Modelling Tools:
- Profisee - MDM governance workflows.
- TOAD - database development and SQL querying.
- JSON - configuration files, rule-based filtering logic in Power BI.
Collaboration & Communication:
- Microsoft Teams - daily stand-ups, cross-functional coordination, stakeholder communications.
- Microsoft Outlook/M365 - enterprise communication and documentation.
About you
- Bachelor's degree in computer science, Information Systems, Data Engineering, or a related technical field.
- Master’s degree is an asset.
- 15+ years of progressive experience in data architecture, data modelling, or a senior data analyst role.
- Demonstrated experience delivering enterprise data platforms in a cloud-based environment (Azure preferred).
- Experience with financial and project management data domains (ERP systems such as Oracle EBS is a strong asset).
- Experience working in Agile/Scrum delivery environments with Azure DevOps.
- Proven track record of leading data governance and documentation initiatives.
- Strong expertise in dimensional modelling, star schema design, and database normalization.
- Deep understanding of ETL/ELT pipeline architecture and data lake medallion patterns.
- Ability to communicate technical concepts clearly to non-technical business stakeholders.
- Excellent SQL skills and ability to design efficient views, joins, and indexing strategies.
- Proactive problem-solving with a focus on data quality and accuracy.
- Strong organizational and delivery management skills.
- Bilingual (English/French) *
- * Member of the Canadian or Global Leadership Team: This position requires knowledge of a language other than French, namely English, as it involves collaboration with members of the Canadian or global leadership team located outside Québec.
Rewards & benefits
Explore the rewards and benefits that help you thrive - at every stage of your life and your career at AtkinsRéalis in Canada.
Enjoy competitive compensation, employee recognition, and a brilliant range of flexible benefits you can tailor to your health, wellbeing, financial and lifestyle needs.
Make the most of diverse opportunities for training and professional development to grow your skills and expertise.
And take advantage of our hybrid working culture and generous time-off policies to balance a fulfilling career with your personal life.
About AtkinsRéalis
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.
Additional information
AtkinsRéalis cares about your privacy. AtkinsRéalis and other subsidiary or affiliated companies of AtkinsRéalis (referred to throughout as “AtkinsRéalis”) are committed to protecting your privacy. Please consult our Privacy Notice on our Careers site to know more about how we collect, use, and transfer your Personal Data.
By submitting your personal information to AtkinsRéalis, you confirm that you have read and accept our Privacy Notice.
Appropriate accommodation will be provided upon request throughout the recruitment and hiring process as required by Company policy and the Accessibility for Ontarians with Disabilities Act (AODA).
Successful applicants will be notified about AtkinsRéalis’ accommodation policies at the time the employment offer is extended, and the information will be shared with new personnel during the onboarding process.
Expected compensation for this role is (between Pay Range $110,000 - $150 000 annually) (Only Applicable to Ontario). Base salaries are determined according to several parameters like skills, experience, and potential impact on the role. Internal and external competitiveness are also taken into account in our offers.
Worker Type
EmployeeJob Type
RegularAt AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.