Azure Data Engineer, Manager (Security clearance required)

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Microsoft

Management Level

Manager

Job Description & Summary

*Point important à considérer avant de postuler
Nous exigeons que tous les membres du personnel qui participeront à ces missions obtiennent une cote de sécurité du gouvernement. Avant de postuler, veuillez consulter le site Web du gouvernement du Canada pour vérifier si vous répondez aux critères d’admissibilité. Il s’agira d’une condition d’emploi chez PwC si vous recevez une offre de notre part.

Une carrière au sein de l’équipe Microsoft Cloud vous permettra d’aider des organisations de premier plan à élaborer et à mettre en œuvre des stratégies axées sur la transformation de leurs capacités technologiques et la résolution de leurs plus grands défis commerciaux. Nous utilisons une approche axée sur le nuage et un modèle d’exploitation agile pour créer des outils et fournir des technologies. Nous cherchons toujours des occasions d’automatiser les processus d’affaires et les processus technologiques. Nous aidons nos clients à adopter des stratégies d’approvisionnement de nouvelle génération pour les amener à réussir et à s’adapter au nuage.

Dans cette équipe des plus dynamiques, vous aurez l’occasion de contribuer au succès d’un groupe de professionnels hautement qualifié en infonuagique et données. Vous pourrez combiner votre expertise en services-conseils à votre expertise technique et sectorielle pour créer et fournir des solutions de données infonuagiques novatrices.

En vous consacrant principalement à l’ingénierie des données et aux activités de développement et d’exploitation (DevOps), vous collaborerez avec des équipes internes et des clients pour mettre en œuvre des solutions de données Azure, mettre à profit des services infonuagiques et établir une base solide pour l’exécution, la gestion et la modulation de leurs applications axées sur les données.

Meaningful work you’ll be part of and key responsibilities

As an Azure Data Engineer, Manager, you’ll work 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:

Project Delivery and Client Engagement

• Collaborate with cross-functional teams to design and implement cloud-based data solutions that meet client requirements.
• Assist in developing proposals and statements of work, providing technical input and ensuring feasibility.
• Work closely with clients to understand their business needs and translate them into technical solutions.
• Contribute to the development of reference architectures and best practice approaches to optimize clients’ data adoption, performance, security, and cost models.
• Participate in meetings and discussions with internal and external stakeholders to align on project objectives and deliverables.

Implementation and Technical Expertise

• Implement and scale cloud-based data projects, leveraging Azure services.
• Analyze business and technical requirements and translate them into effective data designs and implementation plans.
• Develop data pipelines and workflows using Azure Data Factory, Databricks, and other relevant tools.
• Ensure data solutions are secure, reliable, and optimized for performance.
• Support data migration efforts from on-premises to cloud environments.
   
  

Collaboration and Team Leadership

• Lead and mentor junior team members, fostering a collaborative and supportive team environment.
• Participate as a technical team lead on multiple concurrent cloud-focused data projects.
• Promote knowledge sharing and best practices within the team and across the organization.
• Facilitate effective communication among team members, stakeholders, and clients.

Experiences and skills you’ll use to solve

• Demonstrated experience working as a data engineer or in a related capacity.
• Demonstrated experience in cloud data technologies (especially Azure), project execution, and data architecture.
• Experience implementing and scaling cloud-based data projects, focusing on:
  • Cloud data technology architectures and solutions, including data warehousing, data lakes, and hybrid cloud deployments.
  • Data integration and ETL/ELT processes.
  • Data modernization strategies and tooling.
  • Migrating data from legacy systems to modern cloud platforms.
  • Working in waterfall, scrum, agile, and other methodologies.
• Strong problem-solving skills with the ability to analyze complex business and technical requirements.
• Excellent communication skills, both oral and written, with experience in a consulting environment.
• Leadership abilities with experience mentoring and guiding junior team members.
• As a requirement, a Secret Security Clearance is mandatory for all staff who’ll be engaged on these assignments. Prior to applying, please review the Government of Canada website to ensure you meet the eligibility requirements to obtain this clearance. This will become a condition of your employment with PwC should you receive an offer from us.

Technical experience in many of the following areas:

• Cloud Data Technology Expertise: Proficiency with Azure data services, including Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, and Azure Cosmos DB.
• Data Integration and ETL/ELT: Experience using tools like Azure Data Factory, Databricks, and Logic Apps for data ingestion, transformation, and orchestration.
• Big Data and Analytics: Familiarity with big data technologies such as Hadoop, Spark, and implementing scalable analytics solutions on Azure.
• Business Intelligence and Reporting: Knowledge of Power BI and experience designing and implementing BI solutions.
• Data Governance and Security: Understanding of data governance practices, data quality management, and implementing security best practices in Azure.
• Infrastructure as Code (IaC): Experience with tools like Terraform, Ansible, Bicep, and ARM templates for automating data infrastructure deployment and management.
• DevOps for Data: Knowledge of CI/CD pipelines for data solutions using tools like Azure DevOps or GitHub Actions.
• Scripting and Automation: Proficiency in scripting languages such as Python, SQL, or Scala for data processing and automation.
• Networking and Security: Understanding of cloud networking concepts as they relate to data solutions, including private endpoints, firewalls, and encryption.

Why you’ll love PwC

We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc

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, Analytical Thinking, Application Software, Business Model Development, Business Process Modeling, Business Systems, Coaching and Feedback, Communication, Creativity, Developing Training Materials, Embracing Change, Emerging Technologies, Emotional Regulation, Empathy, Enterprise Integration, Enterprise Software, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Innovative Design, Intellectual Curiosity, IT Infrastructure {+ 20 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

Yes

Job Posting End Date

At PwC Canada, our most valuable asset is our people and we grow stronger as we learn from one another. We’re committed to creating an equitable and inclusive community of solvers where everyone feels that they truly belong. We understand that experience comes in many forms and building trust in society and solving important problems is only possible if we reflect the mosaic of the society we live in.

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

To learn more about inclusion and diversity at PwC Canada: https://www.pwc.com/ca/en/about-us/diversity-inclusion.html. Be a part of The New Equation.

Chez PwC Canada, notre atout le plus précieux, c’est notre personnel. Et c’est en apprenant les uns des autres que nous devenons plus forts. Nous avons à cœur de créer une communauté équitable et inclusive de professionnels de la résolution de problèmes, dans laquelle chacun se sent vraiment à sa place. Nous savons que l’expérience peut prendre diverses formes et, pour nous, donner confiance au public et résoudre des problèmes importants n’est possible que si notre milieu de travail reflète la diversité de la société dans laquelle nous vivons.

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.

Pour en savoir plus sur l’inclusion et la diversité chez PwC Canada: https://www.pwc.com/ca/fr/about-us/diversity-inclusion.html. Faites partie de La Nouvelle équation.