Job Description

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.

Skills and experience

· 3 to 6 years of experience in data engineering, analytics engineering, business intelligence, or related data roles.

· Hands-on experience delivering solutions with both Microsoft Fabric and Azure Databricks.

· Strong programming skills in Python, 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, including direct interaction with client stakeholders.

· Demonstrated 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 both technical and non-technical audiences.

· Experience with Azure Data Factory, Azure Data Lake Storage, Power BI, Microsoft Purview, or Azure DevOps.

· Experience working in Agile delivery environments and contributing to estimation, planning, testing, and release activities.

· Eligibility for Government of Canada Secret Security Clearance.

AI Engineering Exposure

· Exposure to AI engineering concepts and the delivery of AI-enabled or agentic solutions.

· Familiarity with Microsoft Foundry for developing, evaluating, or operationalizing AI solutions.

· Familiarity with Microsoft Copilot Studio for building and integrating copilots or agents into business workflows.

· Understanding of how governed, high-quality data platforms enable analytics, machine learning, generative AI, and agentic experiences.

Compensation at Avanade 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, Avanade 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. ​

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It does not represent a maximum limit — in some cases, actual compensation may exceed the range where appropriate.

See more information on our benefits here: Canada Employee Benefits | Avanade

British Columbia/Ontario/ New Brunswick      - CAD96,700 - CAD115,000