Data Engineer

PwC Canada; Toronto; On-site; CAD 110,000 - 130,000; Full time

Job summary

PwC Canada is seeking a Data Engineer to shape data architecture strategies within the Chief Data and Analytics Office. This mid-senior level role focuses on developing data management processes, ensuring data quality and integrity, and collaborating with various teams to drive AI initiatives, all while being part of an inclusive and diverse work environment.

Qualifications

• Mid-senior level experience in data engineering and architecture required.
• Expertise in Gen AI-related technologies including Foundation models/GPT essential.
• Proven ability to manage complex data integration processes.

Responsibilities

• Collaborate with cross-functional teams to design and implement data architecture strategies.
• Develop and manage robust data models for internal data management.
• Ensure data security initiatives align with company policies.

Skills

Data architecture

Gen AI technologies

Data governance

Communication

Collaboration

Tools

SQL Server

MongoDB

Azure SQL Database

Databricks

BigQuery

Job description

1 day ago Be among the first 25 applicants

As a Data Engineer within the Chief Data and Analytics Office (CDAO)’s Data Engineering and Architecture pillar, you will play a critical role in shaping and implementing data architecture strategies and solutions to enable data-driven decision-making across the firm. You will collaborate closely with cross-functional teams to design, develop, and maintain scalable and robust Gen AI and AI solutions driving stakeholder value across the firm.

Meaningful work you’ll be a part of

As a Data Engineer, 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:

• Demonstrated experience and expertise with Gen AI initiatives and related technologies, defining data architecture infrastructure and data management processes to support Gen AI projects.
• 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.
• Leading practices in data management, including master, reference, metadata, data quality, data protection, and data life cycle management aligned to the deployed data governance model.
• Oversight of data engineering and operation tasks supporting firm projects and operational activities.
• Experience in the development and execution of data programs, working closely with stakeholders across functional teams.
• Must be able to break down complex problems, question assumptions, and be comfortable making high-impact decisions with limited information and some degree of uncertainty.
• Excellent written and verbal communication skills, interpersonal and collaborative skills, and the ability to deliver concepts to technical and non-technical audiences at various levels, ranging from VPs to technical specialists.
• Take part in data governance and technology risk management tasks as required on behalf of the team.
  
  

Experiences And Skills You’ll Use To Solve

• Strong experience in data architecture and design, with knowledge and expertise in Gen AI-related technologies, including Foundation models/GPT, LLM/SLM, vector databases, AI Search/vector search, Langsmith, and prompt engineering.
• Expertise with modern data architecture and platforms, and 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, Databricks, BigQuery, Snowflake, Amazon RDS).
• Ability to manage multiple data integration/ETL patterns, including batch, streaming, and API/microservices.
• Understanding of implementing architecture using the 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.
• Experience overseeing CI/CD & DevOps processes, including performing code reviews.
• Proactive in identifying opportunities to improve data and analytic capabilities through architecture, technology, and process enhancements.
• Experience with MLOps/AIOps is strongly preferred.
• 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.

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. 619415WD

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Business Consulting and Services

Referrals increase your chances of interviewing at PwC Canada by 2x

Sign in to set job alerts for “Data Engineer” roles.

Mississauga, Ontario, Canada CA$110,000.00-CA$130,000.00 2 weeks ago

Richmond Hill, Ontario, Canada 1 month ago

Software Engineer, Backend (All Levels / All Teams)

Mississauga, Ontario, Canada CA$70,000.00-CA$85,000.00 3 weeks ago

Ai and Data - Senior - Data Engineer - Toronto and Ottawa

Software Engineer I, Entry Level (Fall 2024-Spring 2025) - Toronto

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.