Summary

Our talented Data & AI Practice is made up of globally recognized experts - and there’s room for more analytical and ambitious data professionals. If you’re passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let’s talk. Take your skills to a new level and launch a career where you can truly do what matters.   

As an Analytics Architect within our Data & AI Practice, you’ll leverage a client-centric approach to translate our client’s business strategy into solutions and services that lead to successful, impactful outcomes. You’ll engage in solutioning and support on the most strategic opportunities, intervene in high-risk complex deliveries, and contribute to shape the strategic direction around data architecture.  Together we do what matters. 
  
Key Responsibilities

• As an AI architect assigned to a client project, you will typically work closely with delivery teams and client stakeholders to provide technical leadership, shape deals and propositions, drive architectural decisions, create plans and roadmaps, and produce design artifacts  

• Assist clients in their journey to Microsoft Azure or leverage their existing investment in it - you can expect a significant focus on applying cloud architectural patterns and migration strategies 

• Play a key role in Avanade's sales process with the responsibility for shaping the high-level design, estimates, and contractual details for client proposals in collaboration with other subject matter experts in the business 

• As a senior member of the Avanade technical community, you will provide coaching and mentoring to motivate and inspire more junior colleagues from within your team and across the organization 

• Translate complex technical solutions and present them in different formats; to business decision makers into business outcomes, to Market in engaging video or blog format content, to internal Sales Teams in battle card format 

• Engage in early conversations with the client and/or sales team and support origination and deal qualification, become the trusted advisor.  Prepare and represent the solution in Deal Reviews and play an active role in Orals, Client Presentations, and negotiations discussions with key client buyers 

• Complete pricing, using standard solution architecture processes, methods, estimating, and modelling tools to drive quality and minimize time to solution through process and reuse.  Understand and leverage different Pricing Models and work with Sales Leads to articulate deal pricing.  Ensuring a deal is both winnable and deliverable, mitigating potential risks 

Utilize técnicas modernas de engenharia de dados e métodos de análise avançada para apoiar decisões de negócios dos clientes da Avanade. Colete, agregue e analise dados estruturados e não estruturados para fornecer insights valiosos.

Bem-vindo ao mundo da Engenharia de Dados! Como um especialista em dados, você será responsável por transformar requisitos de negócios em soluções técnicas, analisando práticas e processos atuais e identificando oportunidades futuras. Você ajudará a planejar e implementar serviços de design de dados, construir pipelines de dados modernos, APIs de serviços de dados e muito mais. Junte-se a nós nesta jornada de inovação e faça um impacto duradouro no mundo da tecnologia. Together we do what matters.

Saiba mais sobre alguns de nossos benefícios:

• Vale refeição ou alimentação; 
• Cartão Multibenefícios até Consultor Sênior; 
• Convênio médico e odontológico; 
• Certificações e treinamentos; 
• Seguro de Vida; 
• Previdência Privada; 
• Avababy: acompanhamento da gestação e kit para os novos pais e mães Avanade; 
• Participação nos resultados da empresa;
• Wellhub; 
• Auxílio Creche; 
• Orientador de Carreira - Mentoria de carreira; 
• Política de Birthday Off em seu aniversário; 
• Sessões de Bem-Estar; 
• Para função gerencial ou superior - Veículo corporativo, estacionamento e auxílio combustível.
  ​

Responsabilidades:

• Traduzir requisitos de negócios em soluções técnicas.
• Analisar práticas de negócios atuais e identificar oportunidades futuras.
• Apoiar o planejamento e implementação de serviços de design de dados.
• Entregar arquiteturas para transformações e modernizações de soluções de dados.
• Projetar e construir pipelines e fluxos de dados modernos.
• Desenvolver e manter esquemas de data warehouse e bancos de dados.
• Expor dados aos usuários finais usando plataformas de visualização modernas.

Location: Canada
Travel: Up to 40-50%, depending on engagement
 

About Avanade

Avanade is the world’s leading expert on Microsoft. Our professionals bring bold thinking, deep industry knowledge, and advanced technology expertise to help organizations realize the full potential of their people and data. Together, we do what matters for our clients, our communities, and one another.

The Opportunity

As an Associate Manager – Power BI Architect, you will play a key role in designing and delivering enterprise‑scale analytics solutions for Avanade clients using Microsoft Power BI and Microsoft Fabric–based analytics architectures, along with Azure data platforms. You will work closely with client stakeholders and delivery teams to translate business needs into well‑architected, performant, and governable analytics solutions.

At this level, the role is hands‑on and client‑facing, balancing solution architecture responsibilities with delivery execution, technical leadership, and collaboration across multidisciplinary teams.

What You’ll Do

• Design and deliver end‑to‑end Power BI and Fabric-enabled analytics solutions, including semantic models, datasets, reports, and dashboards aligned to client business objectives.

• Define Power BI and Microsoft Fabric architectural patterns that support scalability, performance, security, and self‑service analytics.

• Serve as the Power BI technical lead within a project workstream, contributing to solution quality and delivery success.

• Design optimized data models using Power BI, Fabric semantic models, DAX, SQL, and dimensional modeling best practices.

• Integrate Power BI with Microsoft Fabric components (e.g., Lakehouse, Data Warehouse, Data Pipelines) and collaborate with data engineering teams on ingestion, transformation, and refresh strategies.

• Implement governance, security (including row‑level security), deployment, and lifecycle management practices aligned with enterprise and Fabric tenant standards.

• Communicate architecture decisions and trade‑offs clearly to technical and non‑technical stakeholders.

• Mentor and support Power BI developers and analysts through design guidance, reviews, and knowledge sharing

• Why Avanade

• Work for Microsoft’s Global Systems Integrator Partner of the Year, with direct access to Microsoft technologies, training, and certifications.

• Grow your career through meaningful client work, continuous learning, and clear progression opportunities.

• Join an inclusive, people‑first culture that values curiosity, collaboration, and innovation.

Avanade's AI Engineer role is responsible for developing scalable AI solutions aligned to a business strategy and benefits case.  The role will be to work as part of a team to impact real world problems by delivering technical AI work. To be successful in this role you will need to be passionate about Data & AI, a continuous learner, and a strong team player.

Come join us: 

As an AI Engineer, you will help clients understand and extract insight and value from their data using Microsoft AI technologies. Working as part of a team, you will be involved in all phases of AI projects including question/use case formulation, design, research, build, and testing. This role will explore and understand data to build advanced AI solutions.

What you'll do:

• Customer readiness and onboarding, nominations review, and use case vetting processes

• Proof of Concept solution design and prototyping with AI technology, with a primary focus on AI capabilities like OCR, NLP, reasoning with LLMs, AI agents, and AI Search with traditional and vector DBs and a secondary focus on machine learning

• Produce solutions for clients working with both structured and unstructured data applying these AI capabilities

• Conduct customer satisfaction surveys and share key learnings, run customer engagement reports and project retrospective reports as well as provide summary for customer & logging product bugs with engineering team

• Provide facility tours, manage demo showcase, and process improvements

• Communicate insights to help steer business strategy and decision-making