AI & Data Engineer

We are:

The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000* people 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:

An experienced, hands-on Data \& AI Engineer with deep hands-on expertise in SnowFlake and Azure data services to design, build, and optimize scalable data pipelines. You’ll work closely with analytics, data science, and cloud teams to ensure reliable, high-performance data delivery for the clients we serve. Designing and implementing Enterprise Data Architecture, Enterprise Data Lake and Data Warehouse solutions.

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:

Establish and enforce standards for conceptual, logical, and physical data models.

Align data models with enterprise architecture, governance, and business domain requirements.

Lead and review modeling work to ensure quality, performance, and scalability.

Translate business needs into well-structured data designs for analytics and applications.

Maintain metadata, lineage, and data integrity across platforms.

Oversee project planning, documentation, and delivery of modeling components.

Mentor and guide data modelers and data engineers on best practices and modeling techniques.

What you need:

6-8 years of experience with data modelling techniques and methodologies (conceptual, logical, physical, dimensional, Data Vault).

4-6 years of Hands-on experience with data quality tools and processes to ensure accuracy, consistency, and lineage.

4-6 years of proven expertise in defining and applying data taxonomy, data standards, and naming conventions.

4-6 years of experience translating business needs into scalable models aligned with broader AI \& Data strategy.

4-6 years of proven proficiency with industry modeling tools (e.g., Erwin, ER/Studio, dbt, PowerDesigner).

4-6 years of deep understanding of data architecture patterns, integration flows, and metadata management.

4-6 years of experience of Data Architect experience.

4-6 years of experience Cloud Platform experience, Cloud Data Warehouse with SnowFlake

4-6 years of experience strong communication skills to collaborate with architects, engineers, and business stakeholders.

This role will require 3 days per week at the local Mississauga office or a client site located in the Greater Toronto Area. Preferred hiring locations for this role are Toronto and Mississauga.

Bonus points if you have experience with:

Experience with cloud data platforms (Azure, AWS, GCP) and modern Lakehouse architectures.

Working knowledge of machine learning feature engineering and how data models support AI workloads.

Ability to automate modeling-related tasks using Python, SQL, or data modeling automation frameworks.

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 in British Columbia as set forth below.

Information on benefits is here.

Role Location Annual Salary Range

British Columbia $61,800 to $167,000