Data and Analytics, Data Management, Manager

Toronto - 18 York Street, Canada

PwC

We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.

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Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Technology Strategy

Management Level

Manager

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Our team helps businesses develop data management technology that addresses architecture and governance frameworks and transforms data into insight and action. We help organizations better manage the complexity of their enterprise data, reducing costs, ensuring the integrity of information assets, and enhancing performance through better information and refined decision making capabilities.

Meaningful work you'll be part of  

As a Data and Analytics 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:  

  • Design, develop, and provide recommendations for scalable data platforms on GCP  

  • Develop and optimize big data models using star and snowflake schema techniques to support efficient querying and data retrieval.  

  • Implement and manage various data storage paradigms, including data warehouses, data lakehouses, and data meshes.  

  • Utilize open-source data engineering tools such as Apache Airflow and Apache Spark for data orchestration and processing.  

  • Develop and maintain data pipelines for batch and real-time data ingestion and processing.  

  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs.  

  • Monitor, troubleshoot, and optimize data platforms to ensure high performance and reliability.  

  • Stay current with the latest industry trends and technologies in data engineering and platform development.  

Experiences and skills you'll use to solve  

  • Bachelor's or master's degree in computer science, Engineering, or a related field.  

  • Proven experience as a Data Platform Developer or similar role.  

  • Proficiency with GCP and exposure to at least one other cloud platform   

  • Strong experience in big data modeling, including star and snowflake schema development.  

  • Familiarity with various data storage paradigms such as data warehouses, data lakehouses, and data meshes.  

  • Proficiency with open-source data engineering tools such as Apache Airflow and/or Apache Spark.  

  • Experience with batch and real-time data ingestion and processing.  

  • Strong programming skills in languages such as Python, Scala, or Java.  

  • Excellent problem-solving skills and attention to detail.  

  • Strong communication and collaboration skills.  

Preferred Qualifications:  

  • Experience with additional data engineering tools and frameworks (e.g., Kafka, Flink, Hive).  

  • Knowledge of data governance and compliance standards.  

  • Experience with monitoring and logging tools (e.g., Prometheus, Grafana).  

  • Understanding of data security best practices and implementation.  

  • Relevant certifications are strongly preferred (i.e. Google Cloud Professional Data Engineer, Azure Data Engineer Associate, etc.). 
     
     

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, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 43 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

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Airflow Architecture Azure Big Data Business Intelligence Computer Science Data analysis Data Analytics Data governance Data management Data Mining Data pipelines Engineering Flink GCP Google Cloud Grafana Java Kafka Open Source Pipelines Python Research Scala Security Snowflake Spark

Perks/benefits: Career development

Region: North America
Country: Canada

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