Cloud Architecture & Engineering, Director

Line of Service

Advisory

Industry/Sector

Technology

Specialism

Technology Strategy

Management Level

Director

Job Description & Summary

At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime.

Those in site reliability engineering at PwC will focus on enabling the reliability, scalability, and performance of organisational technology infrastructure. This will include working to automate processes, monitor systems, and resolve incidents to maintain a seamless user experience.

Meaningful workyou’llbe part of

As a Director, Cloud Architecture & Engineering,you’llwork as part of a team of problem solvers, helping to solve business issues, deliver high-quality client service and operational efficiency. Responsibilities include but are not limited to:

• You will play a pivotal leadership role at the intersection of cloud strategy, architecture, engineering, and client engagement.
• This role combines deep technical cloudexpertisewith strategic leadership, practice development, and team coaching.
• You will shape and scale cloud capabilities, guide clients through complex transformation journeys, and help drive PwC’scloud firstvision.
• You willbe responsible fordesigning and governingenterprise gradecloud architectures while also driving advisory engagements, leading teams, strengthening client relationships, and contributing to the innovation pipeline forcloud-basedsolutions and assets.
• This role requires a seasoned cloud leader who canoperatefluently across business strategy, modern cloud architectures, andhands-ontechnical depth—while mentoring teams and influencing both internal and client executives.

Cloud Architecture & Engineering Leadership

• Lead the design, governance, and implementation ofend-to-endcloud architectures aligned to business goals and industry best practices.
• Architect scalable, secure, andcost optimizedcloud solutions across AWS, Azure, and GCP.
• Develop cloud foundation blueprints, reference architectures, and reusable patterns.
• Oversee the design and optimization of Kubernetes platforms (EKS, AKS, GKE) and containerized environments.
• Guide the development and automation of cloud infrastructure usingInfrastructure-as-Code(Terraform, CloudFormation, AWS CDK, ARM, etc.).
• Providetechnical guidance on compute, storage, networking, security, identity, data services, and DevOps tooling.

Cloud Advisory & Client Engagement

• Serve as a trusted advisor toexecutive-levelstakeholders, helping them define and execute cloud strategies and operating models.
• Assess existing environments, develop modernization roadmaps, and oversee cloud migration programs.
• Lead proposal creation, solutioning activities, statements of work, and client presentations.
• Communicate complex technical concepts to nontechnical audiences clearly and effectively.
• Identifyand prioritize client usecases andtranslate business requirements into architectural approaches and execution plans.

Practice & Team Leadership

• Build, lead, and mentor teams of cloud architects, engineers, and technical specialists.
• Foster a culture of continuous learning, experimentation, and cloud innovation.
• Recruit and grow diverse technical talent, ensuring strong career development and retention.
• Collaborate with practice leadership to define strategic direction, emerging offerings, andgo-to-marketassets.
• Lead initiatives that strengthen practice foundations: capability models, delivery frameworks, accelerators, patterns, and reusable assets.

Innovation, Delivery & Thought Leadership

• Lead technical innovation cycles to evaluate, test, andshowcasenew cloud technologies, tools, and architectures.
• Drive andparticipateinhands-oncloud prototyping,labbing, and solution validation.
• Develop technical demos,asset-drivensolutions, andmarket-alignedaccelerators.
• Present at internal and external events, contributing to PwC’s thought leadership presence.
• Maintain active engagement with cloud provider alliances and product engineering teams to share early insights and influence product evolution.

Experiences and skillsyou’lluse to solve

Technical Expertise

• Extensive experience in cloud architecture and engineering across AWS (primary), Azure, and/or GCP.
• Deep knowledge of Kubernetes, containers, microservices, serverless architectures, and modern DevOps practices.
• Hands-on experience withIaCtools (Terraform strongly preferred), CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, Argo, etc.), and automated deployment patterns.
• Strong understanding of cloud security, IAM, network segmentation, encryption, monitoring, cost optimization, and governance frameworks.
• Experience supporting modernization programs such as application migration, refactoring, API strategies, and technical debt remediation.
• AI-assisted development and prior experience deploying agentic workloads and MLOps pipelines is an asset.

Leadership & Consulting Skills

• Demonstrated experience leadingcloud-focusedteams and initiatives in a complex, multistakeholder environment.
• Strong executive communication skills suitable forclient-facingconsulting environments.
• Ability to bridge business and technical perspectives and articulate value propositions, architecture decisions, andtradeoffs.
• Strategic mindset with a bias toward execution, innovation, and measurable impact.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Significant cloud architecture and engineering leadership experience.
• Preferred:AWS Solutions Architect (Professional); Azure or GCP Architect certifications; Certified Kubernetes Administrator (CKA) or CKAD; Terraform Associate Certification.
• Ability to obtain Government of Canada Security Clearance; Level 2 security clearance is an asset.
• This role does not require professional engineering licensure and is not classified as a formal engineering position under provincial regulatory definitions. While individuals with aP.Engdesignation are welcome to apply, the responsibilities of this role do not involve the practice of professional engineering as defined by applicable legislation.
• PwC Canadaiscommitted to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer.

This position ensures continuity and upholds our standards of excellence following the departure of a valued team member.

The salary range for this position is $197,000 - $247,000. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

Education

(if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications

(if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Amazon Web Services (AWS), Analytical Thinking, Application Performance Monitoring, Automation Framework Design and Development, Automation Solutions, Cloud Infrastructure, Coaching and Feedback, Communication, Computer Science, Continuous Process Improvement, Creativity, Database Scalability, Digital Tooling, Downtime Reduction, Embracing Change, Emotional Regulation, Empathy, Good Engineering Practices (GEP), Google Cloud Platform, High Reliability Organization (HRO) {+ 33 more}

Desired Languages

(If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.

The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy

Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.

L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels