15 days ago
Toronto, CanadaMid Level / Senior
Responsibilities
- Partner with client stakeholders to understand priorities, define requirements, identify root causes, and translate needs into data solutions.
- Design, build, test, and support scalable data pipelines, lakehouse solutions, data transformations, and curated data products.
- Develop data engineering components using Python, PySpark, and SQL.
- Facilitate discovery sessions, technical workshops, backlog refinement, solution walkthroughs, stakeholder updates, and client presentations.
- Manage stakeholder expectations through communication, issue management, and delivery reporting.
- Apply engineering practices for data quality, observability, security, governance, performance optimization, and operational support.
- Contribute to architecture decisions, estimates, delivery plans, technical documentation, testing, and release activities.
- Collaborate with architects, analysts, data scientists, AI engineers, and onshore and offshore delivery teams.
- Support and mentor junior team members through technical guidance, reviews, and knowledge sharing.
- Explore integration of Microsoft Foundry and Microsoft Copilot Studio into data solutions.
Requirements
- 3 to 6 years of experience in data engineering, analytics engineering, business intelligence, or related data roles.
- Hands-on experience delivering solutions with Microsoft Fabric and Azure Databricks.
- Strong Python skills with practical experience using PySpark and SQL.
- Experience designing and building ETL/ELT pipelines, lakehouse architectures, data transformations, and curated data layers.
- Proven consulting or professional services experience with direct client stakeholder interaction.
- Ability to structure complex problems, investigate root causes, evaluate alternatives, and drive pragmatic solutions.
- Strong stakeholder management, facilitation, communication, and presentation skills.
- Ability to explain technical concepts to technical and non-technical audiences.
- Experience with Azure Data Factory, Azure Data Lake Storage, Power BI, Microsoft Purview, or Azure DevOps.
- Experience in Agile delivery environments and participation in estimation, planning, testing, and release activities.
- Eligibility for Government of Canada Secret Security Clearance.
- Exposure to AI engineering concepts and AI-enabled or agentic solutions.
- Familiarity with Microsoft Foundry and Microsoft Copilot Studio.
- Understanding of how governed data platforms enable analytics, machine learning, generative AI, and agentic experiences.
Benefits
- The listed base pay range is CAD96,700 to CAD115,000 for British Columbia, Ontario, and New Brunswick.
- Avanade provides employee benefits information through its Canada Employee Benefits program.
About Avanade
Avanade is the world’s leading expert on Microsoft. Trusted by over 7,000 clients worldwide, we deliver AI-driven solutions that unlock the full potential of people and technology, optimize operations, foster innovation and drive growth. As Microsoft’s Global SI Partner we combine global scale with local expertise in AI, cloud, data analytics, cybersecurity, and ERP to design solutions that prioritize people and drive meaningful impact. We champion diversity, inclusion, and sustainability, ensuring our work benefits society and business.