Data Consultant

We are: Accenture’s Data & AI practice, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds?About the Role:We are looking for an experienced and motivated Data Consultant to help design, build, and optimize scalable data systems. This role focuses on developing robust data pipelines, enabling real-time data ingestion and processing, and supporting data-driven decision-making. You’ll work with cutting-edge technologies including Apache Spark, Databricks, Kafka, and cloud platforms like GCP and Azure.As a subject matter expert, you will lead by example guiding technical decisions, mentoring team members, and collaborating with cross-functional teams to deliver high-impact solutions. Your contributions will help shape data architecture and ensure the availability, reliability, and performance of data infrastructure.Key Responsibilities:Design and develop end-to-end data pipelines, including real-time streaming and batch processing.Build scalable and efficient solutions using Apache Spark, Databricks, and Kafka.Implement ETL/ELT processes to collect, transform, and load data across diverse systems.Ensure data quality, consistency, and integrity through validation frameworks and monitoring tools.Optimize pipeline performance and scalability across cloud platforms (GCP and Azure).Collaborate with engineering, analytics, and business teams to support data needs.Lead technical discussions, contribute to architectural decisions, and mentor junior engineers.Stay current with emerging tools, frameworks, and best practices in the data engineering space.Here’s what you need:The ideal candidate brings advanced expertise in data engineering and processing, with :Bachelor’s Degree or completion of college diploma in related field5+ years experience over all, 3+ years’ experience in Apache Spark, Databricks, and building real-time data pipelines using Kafka.Strong command of ETL/ELT workflows, data access patterns, and pipeline orchestration, with a track record of deploying and managing scalable solutions in cloud environments like GCP and Azure.3+ years proficiency in Python, Spark and SQL is essential, along with a solid understanding of data quality management, performance tuning, and collaborative problem-solving.3+ years’ experience in leading or significantly contributing to complex technical initiatives.English is required for this position as this role will regularly interact with English-speakingstakeholders across Canada. Due to the significant high volume of interactions with theseEnglish-speaking stakeholders, which is inherent to this position, it is not possible toreorganize the company's activities to avoid this requirement.Preferred Qualifications:Familiarity with orchestration toolsUnderstanding of data warehousing concepts and architecture.Strong communication skills and the ability to work cross-functionally.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 RangeBritish Columbia $61,800 to $159,600