What You'll Do·
Partner with client stakeholders to understand business priorities, uncover root causes, define requirements, and translate complex needs into actionable data solutions.·
Lead problem-solving activities across ambiguous and complex environments, evaluating options, risks, dependencies, and trade-offs.·
Design, build, test, and support scalable data pipelines, lakehouse solutions, and curated data products using Microsoft Fabric and Azure Databricks.·
Develop reliable data transformations and engineering components using Python, PySpark, and SQL.·
Facilitate discovery sessions, technical workshops, backlog refinement, solution walkthroughs, and stakeholder updates.·
Manage stakeholder expectations through clear communication, proactive issue management, and transparent delivery reporting.·
Apply sound engineering practices for data quality, observability, security, governance, performance optimization, and operational support.·
Contribute to architecture decisions, estimates, delivery plans, technical documentation, and client presentations.·
Collaborate with architects, analysts, data scientists, AI engineers,



and delivery teams across onshore and offshore environments.·
Support and mentor junior team members through technical guidance, reviews, and knowledge sharing.·
Explore opportunities to integrate AI engineering capabilities into data solutions, including Microsoft Foundry and Microsoft Copilot Studio.

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📌 Consultant, Data Engineering (Toronto)
🏢 Avanade
📍 Toronto