Lead Data Consultant, Manager

PwC; Toronto; Vor Ort; CAD 112.000 - 162.000; Vollzeit

Zusammenfassung

PwC Canada is seeking a Manager - Data Engineering to lead the architecture, design and delivery of scalable cloud data platforms across Azure, GCP and AWS. You will transform business requirements into end-to-end data solutions, oversee batch and real-time pipelines, and mentor engineers to deliver high‑quality analytics projects.

You will drive modernization efforts, governance, and cost optimization while collaborating with clients and internal teams to ensure successful outcomes and

Qualifikationen

• Hands-on experience in data engineering and cloud data platforms.
• Experience leading technical teams or workstreams.
• Ability to translate business requirements into technical solutions.

Aufgaben

• Lead the architecture, design and delivery of cloud data platforms across Azure, GCP and AWS.
• Translate business and technical requirements into end-to-end cloud solutions.
• Design and oversee batch and real-time data pipelines.
• Provide technical leadership on data platform modernization and cloud migration.
• Define engineering standards for data quality, monitoring and CI/CD.
• Lead workshops and communicate complex concepts to diverse stakeholders.

Kenntnisse

Cloud data platforms

Data pipelines

SQL

Python

Tools

Apache Airflow

Spark

Databricks

Azure

AWS

GCP

Jobbeschreibung

Line of Service Advisory Industry/Sector Not Applicable Specialism Technology Strategy Management Level 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. Meaningful work you’ll be part of As a Manager - Data Engineering, you’ll work as part of a team of problem solvers, helping clients design, architect and deliver modern data platforms and analytics solutions across leading cloud platforms, while delivering high quality client service and operational efficiency. Toronto is the preferred location for this role. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Responsibilities include but are not limited to:

• Lead the architecture, design and delivery of scalable, secure and resilient cloud data platforms and data engineering solutions across Azure, GCP and/or AWS.
• Translate business and technical requirements into end-to‑end cloud solution architectures, including data ingestion, storage, processing, integration, security, governance, observability and consumption patterns.
• Design and oversee batch and real-time data pipelines using modern orchestration and processing technologies, including Apache Airflow, Spark and Databricks, together with cloud-native data services.
• Provide technical leadership across data platform modernization, cloud migration, data warehouse/lakehouse implementation, data integration and analytics initiatives.
• Define and promote engineering standards and reusable patterns for data quality, metadata‑driven processing, error handling, monitoring, logging, lineage, testing, CI/CD and infrastructure automation.
• Evaluate technology and architecture options, articulate trade‑offs, and provide pragmatic recommendations based on scalability, performance, security, maintainability and cost.
• Take ownership of projects and workstreams, ensuring successful planning, estimation, budgeting, execution, risk management and completion.
• Lead technical discussions and architecture workshops with clients and stakeholders, communicating complex concepts clearly to both technical and non-technical audiences.
• Partner with project and team leadership to ensure collective ownership of quality, timelines and deliverables, and contribute technical input to proposals, RFP responses and solution estimates.
• Coach and mentor data engineers and architects, review solution designs and technical deliverables, and use feedback and review as opportunities to deepen team expertise.
• Address delivery challenges, technical risks and conflicts proactively, engaging with clients, team members and other stakeholders and escalating where appropriate.
• Uphold and reinforce professional and technical standards, the Firm’s code of conduct and independence requirements.

Experiences and skills you’ll use to solve

Significant hands‑on experience in data engineering, cloud data platforms and the delivery of enterprise analytics solutions, with demonstrated experience leading technical teams or workstreams.

Strong cloud solution architecture skills, with the ability to design end‑to‑end data solutions spanning networking and connectivity, identity and access management, security, storage, compute, integration, observability, resilience and cost optimization.

Strong experience with at least one major cloud platform (Microsoft Azure, Google Cloud Platform (GCP) or Amazon Web Services (AWS)), together with the ability to apply architecture and data engineering principles across cloud platforms.

Strong experience designing and building scalable batch and streaming data pipelines, including ingestion, transformation, curation and data serving patterns.

Hands‑on experience with Apache Airflow for workflow orchestration, including DAG design, scheduling, dependencies, retries, monitoring, parameterization and production operationalization.

Strong experience with modern data processing and lakehouse technologies such as Databricks, Apache Spark and Delta Lake, or comparable cloud‑native technologies.

Experience with relevant cloud data services such as Azure Data Factory, Azure Synapse Analytics, ADLS, Event Hubs, Microsoft Fabric, Google Cloud Storage, BigQuery, Pub/Sub, Dataflow, AWS Glue, S3, Redshift, EMR and/or Kinesis.

Strong knowledge of data architecture and modelling concepts, including dimensional modelling, data warehousing, lakehouse architectures, ETL/ELT, data integration and data lifecycle management.

Proficiency in SQL and Python and experience developing maintainable, testable and reusable data engineering solutions.

Experience implementing data quality, error handling, reconciliation, monitoring, alerting, lineage and operational support frameworks for production data platforms.

Understanding of cloud security and governance concepts including least‑privilege access, RBAC/IAM, secrets management, encryption, private connectivity, data classification and auditability.

Experience with software engineering and DevOps practices including Git, code reviews, automated testing, CI/CD and infrastructure as code; experience with Terraform, Bicep or CloudFormation is an asset.

Strong consulting and communication skills, including the ability to facilitate technical workshops, present architecture decisions and trade‑offs, influence stakeholders and translate business requirements into technical solutions.

Experience contributing to solution estimation, proposals, RFP responses, technical pre‑sales and/or client presentations is an asset.

Relevant cloud, data engineering or solution architecture certifications from Microsoft, Google Cloud, AWS and/or Databricks are considered an asset.

Salary and Total Rewards

The salary range for this position is $112,400 - $162,400. 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 programmes 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.

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.

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