Azure Data Consultant, Manager

A career within PwC's Microsoft Cloud Practice involves helping organizations transform technology capabilities and solve business challenges with a cloud-first, agile approach. This role focuses on Cloud Data Engineering and DevOps, collaborating with teams and clients to implement innovative cloud data solutions on Azure. As an Azure Data Engineer, Manager, you will design, implement, and scale cloud-based data projects, develop data pipelines, ensure data security and performance, and support data migration efforts, while also leading and mentoring junior team members.

Must Have

• Collaborate with cross-functional teams to design and implement cloud-based data solutions.
• Assist in developing proposals and statements of work, providing technical input.
• 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.
• Participate in meetings and discussions with internal and external stakeholders.
• Implement and scale cloud-based data projects, leveraging Azure services.
• Analyze business and technical requirements and translate them into effective data designs.
• 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.
• Lead and mentor junior team members, fostering a collaborative 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.

Good to Have

• Accepting Feedback
• Active Listening
• Analytical Thinking
• Artificial Intelligence
• Big Data
• C++ Programming Language
• Coaching and Feedback
• Communication
• Complex Data Analysis
• Creativity
• Data-Driven Decision Making (DIDM)
• Data Engineering
• Data Lake
• Data Mining
• Data Modeling
• Data Pipeline
• Data Quality
• Data Science
• Data Science Algorithms
• Data Science Troubleshooting
• Data Science Workflows
• Deep Learning
• Embracing Change
• Emotional Regulation

Perks & Benefits

• Continuous development environment
• Competitive compensation package
• Inclusive benefits
• Flexibility programs

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Technology Strategy

Management Level

Manager

Job Description & Summary

A career within our Microsoft Cloud Practice will provide you with the opportunity to help leading organizations develop and implement strategies that transform their technology capabilities and solve their most critical business challenges. We take a “cloud first” approach when building assets and delivering technology with an agile operating model. Our mindset is to always look for opportunities to automate technology and business processes. We assist our clients in embracing next-generation sourcing strategies to drive success and get “fit for the cloud”.

Joining this dynamic team will allow you the opportunity to shape and contribute to a group of highly skilled cloud and data professionals. You will be able to combine your consulting, technical, and industry expertise to build and deliver innovative cloud data solutions.

With a focus on Cloud Data Engineering and DevOps, you will collaborate with internal teams and clients to implement data solutions on Azure, leverage cloud services, and ensure a solid foundation to run, manage, and scale their data-driven applications.

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.

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, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation {+ 25 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.