Job Description

Do you have a passion for all things data and a drive to grow into a technical leader?



As a Data Management Consultant, you will design, build, and optimize data pipelines and analytics platforms that power decision-making across the organization. You'll work in a dynamic, agile environment, collaborating with cross-functional teams and mentoring junior engineers. This role is ideal for someone ready to deepen their technical expertise and take on increasing ownership of data engineering initiatives.

What You'll Do:

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Design, build, and optimize scalable data pipelines using tools such as Pyspark, SQL, and Azure Data Factory Collaborate with business stakeholders to understand data needs and translate them into technical solutions Contribute to the architecture and implementation of cloud data warehouse solutions (e.g., Snowflake, Azure) Apply ETL/ELT best practices, including rollback strategies, bad record handling, and performance tuning Implement and maintain data governance practices including masking, encryption, and lineage tracking Participate in technical design discussions and contribute to setting standards and best practices Mentor junior engineers and support their technical development Create and maintain documentation for design, implementation, and testing of data solutions Support integration of diverse data sources including Oracle, APIs, and SFTP Explore and apply data modeling techniques such as dimensional modeling and Slowly Changing Dimensions (SCDs) Work with orchestration tools such as Azure Data Factory; experience with Airflow, Dagster, or Prefect is considered a plus

What You Will Need:

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Minimum of 3 years of experience in data & analytics engineering. This should include the following:

Advanced proficiency in Pyspark and SQL Experience with cloud data warehouse architecture and tools (e.g., Snowflake, Azure) Familiarity with DBT and CI/CD pipelines is an asset Strong understanding of data governance and security practices Excellent communication and documentation skills Ability to work independently and collaboratively in a fast-paced environment English is required for this position as this role will be aligned to multi-national teams where English is the common language across our Global Enterprise. Due to the significant high volume of interactions with these English-speaking multi-national teams, hich is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

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 $69,450 to $119,450