Data Engineering Operations Lead

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

Internal Firm Services

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Senior Manager

Job Description & Summary

A career in our Chief Data and Analytics Office offers the opportunity to be at the forefront of leveraging data and AI to drive strategic decision-making and create tangible value across the organization. Our office also leads the way in developing and executing advanced analytics, data science, and AI-driven strategies, while ensuring robust data trust and governance frameworks. By shaping and fostering a strong data strategy and culture, the team promotes ethical, secure, and compliant data use. Additionally, it oversees the data engineering and architecture functions, ensuring that our infrastructure is optimized for innovation, scalability, and AI integration.

We are seeking visionary professionals to help lead the transformation of our data landscape, ensuring its integrity, accessibility, and impact across all business functions. The development and delivery of strategic and operational dashboards is a key focus for the CDAO, providing business leaders with real-time insights to enhance decision-making and operational efficiency.

Meaningful work you’ll be part of 

As a Data Engineering Operations Lead at the Senior Manager level, 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: 

  • Contribute data engineering and architecture expertise to firm projects and technologies initiatives (e.g., enterprise applications, GenAI, LLM, MLOps, etc.) 
  • Create deployment and modernization strategies for enterprise-wide digital transformations, particularly for the transition of legacy data to new systems and platforms 
  • Demonstrated leadership experience with an ability to manage multiple initiatives at once 
  • Experience in the development of enterprise data architecture strategies and roadmaps for internal projects (including linked business cases) with a specific focus on the following: 
  • Developing robust data models and dictionaries to manage internal data 
  • Supporting data security initiatives with an understanding of data classification guidelines 
  • Data technology architectures and solution options aligned to technology strategy and priority data use cases 
  • Oversight of data engineering and operation tasks supporting firm projects and operational activities 
  • Experience in development and execution of data programs working closely with stakeholders across functional teams 
  • Ability to break down complex problems, question assumptions and be comfortable making high impact decisions with limited information and some degree of uncertainty 

Experiences and skills you’ll use to solve 

  • Experience as a Data Architect, Data Engineering manager or similar role, preferably in a large-scale enterprise environment 
  • Extensive experience in large scale data architecture, data modeling and implementation with hands-on experience 
  • Expertise with modern data architecture and platforms, experience with a variety of database technologies, including relational databases (e.g., SQL Server, Oracle, MySQL), NoSQL databases (e.g., MongoDB, CosmosDB, Cassandra), and cloud-based database services (e.g., Azure SQL Database, MSFabric, Databricks, BigQuery, Snowflake, Amazon RDS) 
  • Manage multiple data integration/ETL patterns: batch, streaming, API/microservices 
  • Understanding of implementation of architecture using Azure data technology stack 
  • Hands-on experience with data integration tools (e.g., ADF, Synapse, DataBricks) and ETL development 
  • Proficiency in designing conceptual, logical, and physical data models to represent organizational data assets and facilitate efficient data storage, retrieval, and analysis 
  • Knowledge of data governance frameworks, policies, and best practices to ensure data quality, integrity, security, and compliance with regulatory requirements 
  • Oversee CI/CD & DevOps, perform code reviews 
  • Experience with GenAI/LLM and MLOps/AIOps technologies are nice to have 
  • PwC Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer. 

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, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 20 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: AIOps APIs Architecture Azure BigQuery Business Intelligence Cassandra CI/CD Classification Data analysis Data Analytics Databricks Data governance Data quality Data strategy Data visualization DevOps Engineering ETL Generative AI LLMs Microservices MLOps MongoDB MySQL NoSQL Oracle RDBMS Security Snowflake SQL Streaming

Perks/benefits: Career development Competitive pay Team events

Region: North America
Country: Canada

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