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:
• 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:
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
