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Avanade

Manager, Data Engineering

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 7, 2026
Posting language: English
Posted: Oct 8, 2026

Original job description

Our talented Data & AI team 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 transform their business with the latest AI and data technologies, let's talk. Take your skills to a new level and launch a career where you can truly do what matters.

Come join us

As a Lead Solution Architect within our Data & AI Practice, you'll leverage a client-centric approach to understand our client’s challenges and opportunities to deliver solutions and services that make transformative change and deliver high value business 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 using data platforms, reporting, self-service analytics, real time intelligence and AI engineering.

Using the power of modern data platforms, visualizations, advanced analytics, machine learning, IOT/Digital Twins and applied intelligence, we help clients gain business insights to optimize their operations, drive innovation, and make more empowered decisions.

Together We Do What Matters

What you’ll do 

As an 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 
Play a key role in Avanade's sales process by creating solutions that innovate, inspire and win new business. You’ll have 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 
Have the ability to translate complex technical concepts and solutions and present them in fit for audience language and value-based outcomes, to senior business stakeholders, technology leaders and internal sales teams.
Engage in early conversations with clients and/or sales team and support origination and deal qualification, requirements capture and solutioning, recommending best practices and approaches to achieve optimal outcomes, building strong relationship with clients to become the trusted advisor. Prepare and represent the solution in Deal Reviews and play an active role in client presentations, and negotiations with key client buyers 
Work collaboratively with the wider Data & AI leadership to shape our current and future offerings, accelerators, and background IP to support GTM activities 
Drive the evolution of best practices and methodologies for AI development, including data management, model training, fine-tuning, and deployment
Lead the development of data and analytics platforms, real time intelligence and reporting solutions using Python, SQL, Microsoft Azure Data Services, Fabric and Databricks.
Stay abreast of the latest advancements in Data and AI technologies and incorporate relevant innovations into our solutions.
Continue to identify the most relevant cross-industry solutions-at-scale for your region and execute on them including Data Migration, Automation Migration, Visualization/Reporting and Core Data Platform Modernization and Governance
Drive measurable and sustained growth across the Data & AI Solution Area
Integrate Data & AI into the other Global Solution Areas (Modern Workplace, Apps & Infrastructure, and Business Applications), offerings and go-to-market initiatives
Drive strong Managed Services and multi-year engagements for Data & AI

Qualifications

Skills and experiences

Excellent working knowledge of Microsoft and Databricks
Experience in Data, Applied Intelligence, Automation, IOT and related technologies
Awareness of channels to market and how to work in a Microsoft and partner eco-system to ensure Customer Success. 
High energy intent to help clients understand the fast-moving Data & AI industry, product and service evolution. 
Experience working with stakeholders to create technical visions, high-level architectures, and delivery roadmaps for large programs of work that involve the latest AI concepts particularly focused on scaling Data & AI across enterprises.
Demonstrate a deep understanding of responsible data platform and migration principles, practices and regulatory frameworks and articulate clearly how to address risks whilst quickly delivering impactful solutions.
Capability in creating design artifacts and presenting them for approval at architectural forums attended by multi-disciplined stakeholders from engineering to senior ("C level") client executives 
In-depth understanding of modern Data & AI capabilities such as structured and unstructured data analysis, streaming data, IoT, AI, GenAI and related topical analytics fields
Experience in designing and delivering large-scale Data Platform solutions using relevant approaches (Lakehouse, Data Mesh, Fabric, Cloud Scale Analytics, etc.) . Identifying and designing for key architectural characteristics such as performance, security, and reliability
Comfortable actively engaging and leading sales and business development opportunities with clients

About You

Characteristics that can spell success for this role

You are passionate about tech and engaging with and advising clients 
You likely possess an advanced degree in a quantitative field such as computer science, applied mathematics, statistics, or machine learning. At Avanade we also support an equivalent combination of education and experience. 
Proven success in consultative/complex technical sales and deployment projects, architecture, design, implementation, and/or support of highly distributed applications required Extensive experience working with large complex enterprise accounts architecting cloud solutions for data estate workloads and implementing large scale data projects within the cloud environment 
You are acknowledged for driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills. Ability to orchestrate, lead, and influence remote teams, ensuring successful implementation of customer projects 
Consultative, collaborative, relationship builder
Resilient, adaptable, flexible
Humble leader, master negotiator, relationship builder
Passionate about tech and engaging with and advising clients

Enjoy your Career

Some of the best things about working at Avanade

Opportunity to work for Microsoft’s Global Alliance Partner of the Year, with exceptional development and training (minimum 80 hours per year for training and paid certifications)  
Real-time access to technical and skilled resources globally  
Dedicated career advisor to encourage your growth 
Engaged and helpful coworkers genuinely interested in you

Avanade is the leading global provider of digital, cloud, AI and advisory services, industry solutions and design-led experiences across the Microsoft ecosystem. Founded in 2000 as a joint venture between Accenture LLP and Microsoft Corporation, Avanade has more certifications, Gold-level competencies and most valued professionals (MVPs) than any other Microsoft partner.

To learn more about being a part of Business Leadership team, check out these videos  

Interested in knowing what’s going on inside Avanade? Check out our blogs:  

Avanade Insights – exchange ideas that drive tomorrow’s innovation https://www.avanade.com/en/blogs/avanade-insights  

Inside Avanade – explore what life is like working at Avanade https://www.avanade.com/en/blogs/inside-avanade

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 recruiting efforts for this position are intended to fill a brand new position.

Information on benefits is here.

British Columbia / Ontario - CAD148,000 to CAD175,000

We anticipate this job posting will be posted at least until 11/20/2026

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More about this job

Responsibilities

Lead solution architecture and technical direction for client data and AI initiatives, including platform development, analytics, migration, governance, and large-scale cloud projects. Shape proposals and sales opportunities, guide delivery teams and client stakeholders, mentor colleagues, and help evolve offerings and best practices.

Requirements

Requires extensive experience architecting and delivering large-scale enterprise data and cloud solutions, with strong knowledge of Microsoft and Databricks technologies and modern data and AI capabilities. Candidates should be able to develop architectures and roadmaps, address security, performance, reliability, and regulatory risks, and lead client-facing sales and delivery through strong communication and collaboration.

Skills

Data Engineering
Solution Architecture
Microsoft Azure
Databricks
Microsoft Fabric
Python
SQL
Data Platforms
Data Migration
Data Governance
Artificial Intelligence
Generative AI
Machine Learning
Real-Time Intelligence
Cloud Architecture
Technical Sales

Benefits

Professional Development and Training
Paid Certifications
Dedicated Career Advisor

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data & AI
Solution Architecture
Microsoft Azure Data Services
Microsoft Fabric
Databricks
Python
SQL
Lakehouse
Data Mesh
Cloud Scale Analytics
Data Migration
Data Governance
Data Management
Machine Learning
Generative AI
Model Training
Model Fine-Tuning
AI Deployment
Streaming Data
Real-Time Intelligence
Internet of Things
Digital Twins
Self-Service Analytics
Visualization and Reporting
Cloud Architecture
Responsible Data Practices
Enterprise Data Platforms
Technical Sales
Managed Services

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