Job Description

We are:

The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients' transformation journey. Powered by more than 255,000people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions.

Stronger together!

The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients' business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

The value for our clients and our people

For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.


For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world's most complex client challenges.

You are:

You are a skilled

data engineering leader

who blends strong technical expertise with exceptional communication and stakeholder management abilities. You are passionate about building scalable Azure and Databricks data solutions while guiding your team to deliver reliable, business-aligned data products for analytics and reporting.

The Work:

There will never be a typical day and that's why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on today's biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in a variety of roles covering all aspects of Data Engineering including Data Modelling, Integration, Pipeline Development, Quality & Governance.


Come grow your career in Technology at Accenture!

Key Responsibilities:

Lead and mentor a team of data engineers, providing technical direction, coaching, and oversight of project execution. Design, develop, and optimize end-to-end data pipelines using Azure Data Factory, Databricks (PySpark), Delta Lake, and lakehouse architectures. Partner closely with business stakeholders to translate requirements into scalable data solutions and communicate progress, risks, and design decisions clearly. Build and maintain high-performance semantic models and curated datasets to support Power BI reporting and enterprise analytics. Implement and enforce engineering best practices including CI/CD, data quality frameworks, documentation standards, and cloud governance. Collaborate with architects, analysts, and product owners to prioritize work, define solution roadmaps, and ensure alignment with enterprise data strategy.

This role will require 3 days per week at the local Mississauga office or a client site located in the Greater Toronto Area.

What you need

:

A bachelor's or master's degree in computer science, business administration, commerce, or engineering 4-6 years of experience with Azure Data Services including Data Factory, Databricks, ADLS, Delta Lake, and Azure Synapse. 4-6 years of hands-on expertise building distributed ETL/ELT pipelines with PySpark and Databricks notebooks. Ability to design and optimize Power BI datasets, dataflows, and semantic models to ensure fast, reliable reporting and a consistent enterprise data layer. Excellent business communication and stakeholder engagement skills, including the ability to simplify complex technical concepts. Proven track record leading and developing high-performing technical teams within a cloud data environment. Solid knowledge of data modeling, lakehouse patterns, and Power BI data support (datasets, dataflows, and performance tuning).

Bonus points if you have:

Experience with Azure DevOps, Git, automated deployments, and CI/CD for data engineering. Familiarity with data governance tools such as Azure Purview or Collibra. Exposure to streaming data architectures (Event Hubs, Kafka, or Structured Streaming).

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location,

role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time

employment, for roles that may be hired as set forth below.

The recruiting efforts for this position are intended to fill a brand new position.

The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.

It does not represent a maximum limit -- in some cases, actual compensation may exceed the range where appropriate.


Information on benefits is here.


Role Location Annual Salary Range


British Columbia/Ontario $108,800 to $220,400