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Associate Manager, Data Engineering

  • Toronto, ON
  • On-site
  • Posted Oct 2, 2026
  • 1 position

$114,400–$135,000 / year

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Employment type
Full-time
Experience level
Senior · 12+ years
Minimum education
Bachelor’s degree
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level

Job summary

Lead the design and delivery of enterprise data engineering, analytics, and AI solutions, owning technical workstream design and ensuring alignment with business, architecture, security, and governance needs. Guide delivery teams, collaborate with clients and stakeholders, support planning and solution presentations, and mentor junior colleagues.

Job details

Join our Data Engineering team and help clients transform their business through modern Data & AI solutions We're looking for experienced Data Engineering professionals who are passionate about Microsoft technologies and solving complex business challenges through data. As a Data Engineering Assistant Manager within Avanade's Data & AI practice, you'll combine technical leadership, consulting expertise, and delivery excellence to help clients modernize their data platforms and accelerate their analytics and AI journeys. You'll work with leading Microsoft technologies including Fabric, Azure, Databricks, and emerging Data & AI capabilities while helping shape solutions that deliver measurable business value. Together we do what matters. Come join us As a Data Engineering Assistant Manager, you'll play a key role in delivering modern data platform solutions while guiding teams and clients through architecture, design, and implementation decisions. You will partner closely with solution architects, business stakeholders, and engineering teams to ensure successful project outcomes and high-quality delivery. This role is ideal for professionals who enjoy balancing hands-on technical leadership with client engagement, mentoring, and solution ownership. You'll have access to Avanade's global network of experts, continuous learning opportunities, and early access to Microsoft's latest technologies while helping clients unlock the full value of their data. Key Responsibilities Lead the design and delivery of enterprise-grade Data Engineering, analytics, and AI platform solutions using Microsoft Azure, Fabric, and Databricks technologies. Own technical solution design for project workstreams and ensure alignment with architecture, security, governance, and business requirements. Collaborate directly with client stakeholders to understand business objectives, facilitate requirements discussions, and guide technical decision-making. Translate business requirements into scalable technical designs and implementation plans. Lead development teams and coordinate activities across engineers, architects, analysts, and business stakeholders. Drive best practices for data engineering, platform modernization, data quality, governance, performance optimization, and operational support. Contribute to solution estimation, delivery planning, risk identification, and project execution activities. Support client workshops, architecture reviews, and solution presentations for technical and non-technical audiences. Mentor consultants and junior team members while fostering technical excellence and knowledge sharing. Stay current with emerging Microsoft technologies and help clients evaluate opportunities across analytics, AI, real-time intelligence, and modern data platform capabilities. Qualifications Skills and experience Minimum of 5 years of experience delivering end-to-end Data Engineering and analytics solutions within enterprise environments. Strong experience with Microsoft Fabric, Databricks, Azure Data Factory, Synapse Analytics, Azure Data Lake Storage, Event Hubs, Cosmos DB, and related Azure services. Advanced SQL skills and strong experience with Python, PySpark, Scala, or similar data engineering technologies. Experience designing and implementing modern data architectures including Lakehouse, Data Warehousing, Data Mesh, streaming, and cloud-native analytics platforms. Demonstrated experience leading technical workstreams or delivery teams across multiple phases of a project lifecycle. Strong understanding of data governance, security, reliability, performance optimization, and operational support considerations. Experience facilitating client discussions and communicating complex technical concepts to both technical and business audiences. Experience supporting analytics, machine learning, AI, or advanced reporting solutions. Ability to balance business priorities, delivery timelines, and technical quality when making solution decisions. Microsoft Azure, Fabric, and Data Engineering certifications are highly valued. Bachelor’s degree or equivalent experience (Minimum 12 years of experience or 6 years with an Associate’s Degree). About You Characteristics that can spell success for this role: Strong technical leader with a passion for Microsoft Data & AI technologies Excellent communicator who can bridge business and technical conversations Collaborative consultant who builds trusted client relationships Comfortable leading teams and driving delivery outcomes Strategic thinker who balances business value with technical excellence Curious, adaptable, and committed to continuous learning Mentor who enjoys helping others grow and succeed Problem solver who thrives in complex and fast-paced environments Growth-oriented professional interested in advancing toward architecture and delivery leadership roles 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 Find out more about some of our benefits Benefits and Total Rewards | Avanade Canada 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. Information on benefits is here. British Columbia / Ontario - CAD114,400 - CAD135,000 We anticipate this job posting will be posted on 09/30/2026 and open for at least 30 days

What you’ll do

Lead the design and delivery of enterprise data engineering, analytics, and AI solutions, owning technical workstream design and ensuring alignment with business, architecture, security, and governance needs. Guide delivery teams, collaborate with clients and stakeholders, support planning and solution presentations, and mentor junior colleagues.

Requirements

Requires at least five years of experience delivering enterprise data engineering and analytics solutions, strong Microsoft Azure, Fabric, and Databricks expertise, and advanced SQL plus Python, PySpark, Scala, or similar skills. Candidates should have experience with modern data architectures, technical team leadership, governance and operational considerations, client communication, and analytics or AI solutions; a bachelor's degree or equivalent experience is specified.

Benefits

  • Professional Development And Training
  • Paid Certifications
  • Career Advisor
  • Global Technical Resources
  • Supportive Coworkers

Listed skills

  • Microsoft Azure · Preferred
  • SQL · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Microsoft Fabric
  • Databricks
  • Microsoft Azure
  • Azure Data Factory
  • Azure Synapse Analytics
  • Azure Data Lake Storage
  • Azure Event Hubs
  • Azure Cosmos DB
  • SQL
  • Python
  • PySpark
  • Scala
  • Data Architecture
  • Data Governance
  • Technical Leadership
  • Client Communication

Job areas

  • Data & Analytics
  • Technology
  • Engineering
  • Management & Leadership
  • Consulting

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