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.
Qualifications
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.
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
