Data Architect

Overview

The successful candidate will demonstrate strong cloud capability to design and manage scalable, secure, and efficient data infrastructure across technology platforms (cloud and on‑prem), ensuring seamless integration, storage, and access to enterprise and operational data.

The Data architect will define the data architecture and support system integration design to enable business transformation. A key focus will be influencing the organization's cloud and data strategy, including the structure and layout of data to enable data‑driven outcomes.

The project involves key technology systems contributing to mission‑critical operations and business continuity. AtkinsRéalis' vast experience across key markets provides an opportunity to contribute to one of the most important airport projects in Canada.

Role Alignment: Connect people, data, and technology to transform the world's infrastructure and energy systems. Align with AtkinsRéalis' mission to engineer a better future for our planet and its people. This position is based at our Project Office in the west end of Toronto, Ontario requiring the candidate to be in office Monday to Friday weekly.

Your role

• Understand business requirements, roadmap, and success criteria to define the data architecture and document the integration design that will set the development team up to successfully deliver transformative business outcomes.
• Collaborate with senior business stakeholders to secure strong engagement and ensure that the delivery of the project aligns with longer‑term strategic roadmaps.
• Design a scalable data architecture in Azure and MS Fabric to empower our business with reusable and trusted data assets that are cost‑efficient.
• Seamlessly work in an ecosystem with over 250 applications (mix of on‑premise, SaaS, multi‑cloud hosted) and outsourced operating environment to architect data pipelines and solutions that will efficiently drive real‑time and predictive data in the right format to the right front‑end application.
• Interpret and deliver impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps.
• Support the design of the structure and layout of data systems, including databases, warehouses, and lakes.
• Research and recommend the right cloud solution that meets the organization's needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures.
• Support the implementation of the long‑term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms.
• Design and implement processes for the ETL process from various sources into the organization's data systems.
• Translate high‑level business requirements into data models and appropriate metadata, test data, and data quality standards.
• Lead and participate in peer review and quality assurance of project architectural artifacts across the EA group through governance forums.
• Work with IT teams, business analysts, and data analytics teams to understand data consumers' needs and develop solutions.
• Evaluate and recommend emerging technologies for data management, storage, and analytics.

About You

• Bachelor's degree in computer science, data science, engineering, or related field.
• At least 10 years of relevant experience in design and implementation of data integration solutions for enterprise data and AI initiatives preferably in the Azure stack.
• At least 5 years of relevant experience architecting and building data pipelines in the Azure stack utilizing Azure Event Hub and Azure Data Factory.
• At least 5 years of relevant experience architecting and building solutions using Azure Synapse, PySpark and Power BI.
• Mandatory Technical Certifications:
  • Azure Fundamentals
  • Azure Solutions Architect Expert
  • Azure Developer Associate
  • Azure AI Engineer Associate
  • Azure Administrator Associate
  • Azure DevOps Engineer Expert
• Proficiency in the design and implementation of modern data integration models and concepts in Microsoft Azure, real‑time data distribution (Kafka, Dataflow), and modern data warehouse tools (Databricks, Synapse, Microsoft Fabric).
• Passion for data‑powered decision making utilizing a modern (Azure) architecture.
• Ability to think strategically and communicate technical decisions and recommendations to non‑technical business stakeholders across the airports' businesses.
• A problem‑solver with customer focus, conflict resolution, and analytical skills.
• Ability to work independently with minimal supervision and collaboratively with others.
• Passion for excellence, strong work ethic and results‑driven.

Reward & benefits

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.

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.

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 $93,800 - $129,000 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.

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