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 explicit 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. undefined undefined undefined undefined undefined

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