Google Cloud Platform Lead Data Consultant, Senior Manager

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profile Job Location:

Toronto - Canada

profile Monthly Salary: Not Disclosed
Posted on: 6 hours ago
Vacancies: 1 Vacancy

Job Summary

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Technology Strategy

Management Level

Senior Manager

Job Description & Summary

At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth.

In data engineering at PwC you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines data integration and data transformation solutions.

Growing as a strategic advisor you leverage your influence expertise and network to deliver quality results. You motivate and coach others coming together to solve complex problems. As you increase in autonomy you apply sound judgment recognising when to take action and when to escalate. You are expected to solve through complexity ask thoughtful questions and clearly communicate how things fit together. Your ability to develop and sustain high performing diverse and inclusive teams and your commitment to excellence contributes to the success of our Firm.

Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:

  • Craft and convey clear impactful and engaging messages that tell a holistic story.
  • Apply systems thinking to identify underlying problems and/or opportunities.
  • Validate outcomes with clients share alternative perspectives and act on client feedback.
  • Direct the team through complexity demonstrating composure through ambiguous challenging and uncertain situations.
  • Deepen and evolve your expertise with a focus on staying relevant.
  • Initiate open and honest coaching conversations at all levels.
  • Make difficult decisions and take action to resolve issues hindering team effectiveness.
  • Model and reinforce professional and technical standards the Firms code of conduct and independence requirements.

Demonstrates in-depth abilities and/or success in one or many of the following areas:

  • Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services;
  • Developing and documenting data models data flow diagrams and data architecture guidelines;
  • Assessing that data architecture is compliant with data governance and data security policies;
  • Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions;
  • Evaluating and recommending new data technologies and tools to enhance data architecture;
  • Evaluating data and technology architecture options and build case for change across architecture principles like Security Reliability Scalability Maintainability Automation and Cost management;
  • Developing leading practices and perspectives for Data Engineering Data Science and Data Governance and Data Management;
  • Leading the implementation of GCP based solutions ensuring they meet the specified requirements and best practices across batch real-time structured semi-structured and unstructured datasets;
  • Architecting designing building and optimizing ETL/ELT pipelines for data ingestion processing and storage;
  • Developing and deploying scalable data storage solutions using GCP services;
  • Architecting designingand implementing scalable data pipelines and workflows using GCP tools like Dataflow Dataprep Data Fusion BigQuery and Cloud Composer ensuring robust data integration transformation and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau;
  • Architecting designing and implementing data warehouses and data lakes ensuring data is organized and accessible;
  • Developing frameworks for monitoring and troubleshooting data pipelines data warehouses and workflows to ensure data quality system reliability performance and cost management;
  • Architecting and overseeing implementation of IAM roles and policies to manage access and permissions within GCP;
  • Developing automation strategies leveraging Terraform for infrastructure as code (IaC) deployments;
  • Architecting and implementing services using GCP DevOps services to build and deploy DevOps pipelines;
  • Preferred Certification(s): GCP Data Engineer

Why youll love PwC

Were inspiring and empowering our people to change the world. Powered by the latest technology youll 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: 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 Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Coaching and Feedback Communication Creativity Data Anonymization Data Architecture Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Databricks Unified Data Analytics Platform Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling 37 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. Were 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.

Were 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: Be a part of The New Equation.

Chez PwC Canada notre atout le plus précieux cest notre personnel. Et cest 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 lexpérience peut prendre diverses formes et pour nous donner confiance au public et résoudre des problèmes importants nest 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 demploi dentrevue et dembauche. Si vous avez besoin de mesures dadaptation pour être parfaitement à laise faites-le-nous savoir à létape de la demande demploi.

Pour en savoir plus sur linclusion et la diversité chez PwC Canada: Faites partie de La Nouvelle équation.


Required Experience:

Senior Manager

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismTechnology StrategyManagement LevelSenior ManagerJob Description & SummaryAt PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients...
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Key Skills

  • SQL
  • Data Collection
  • GCP
  • Master Data Management
  • R
  • Data Management
  • Clinical Trials
  • User Acceptance Testing
  • Data Warehouse
  • SAS
  • Oracle
  • Data Analysis Skills

About Company

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At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more

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