Software Development Manager, Trust Data Platform

Autodesk•Toronto, ON

6d•CA$140,000 - CA$205,700

About The Position

Autodesk is seeking an experienced Software Development Manager to lead the Trust Data Platform team. This role is responsible for managing a team of developers building and operating scalable, reliable, and cloud-native data platform services that enable trusted data across Autodesk. The platform serves as a foundation for analytics, reporting, operational insights, and AI-driven initiatives, helping teams make data-informed decisions at scale. As an engineering leader, you will combine technical leadership, people management, and cross-functional collaboration to drive platform strategy and execution. You will work closely with Product Managers, Architects, Senior Principal Developers, and Trust stakeholders to define roadmaps, prioritize investments, and deliver high-impact platform capabilities. The ideal candidate is passionate about building high-performing teams, developing developers, and delivering robust data platform solutions that create business value.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Engineering, or a related field
8+ years of software engineering, platform engineering, or data engineering experience
3+ years of engineering management experience leading software, platform, or data engineering teams
Experience building and operating large-scale cloud-native platforms on AWS
Strong understanding of distributed systems, microservices, APIs, and modern data platform architectures
Experience designing and operating data lakes, ETL/ELT pipelines, data warehouses, and large-scale data processing systems
Experience with Snowflake or similar cloud data warehouse technologies
Experience supporting analytics, machine learning, AI, or data-driven product initiatives
Strong understanding of data governance, data quality, observability, and platform operations
Experience delivering software and platform capabilities using Agile development methodologies
Excellent communication, collaboration, stakeholder management, and organizational leadership skills
Demonstrated success in hiring, mentoring, and developing high-performing engineering teams

Nice To Haves

Experience leading enterprise-scale data platform or data infrastructure teams
Experience enabling AI, machine learning, or generative AI workloads through scalable data platforms
Familiarity with Infrastructure as Code (Terraform or CloudFormation) and CI/CD automation
Experience driving platform modernization and cloud transformation initiatives
Experience leading globally distributed engineering teams

Responsibilities

Lead the Trust Data Platform team, providing technical, strategic, and people leadership to a team of developers building scalable, reliable, and cloud-native data platform services
Partner closely with Product Managers to define platform vision, strategy, roadmaps, priorities, and success metrics that align with organizational objectives and customer needs
Collaborate with Architect and Senior Principal Developers to drive technical direction, platform modernization, and long-term architectural evolution
Own the delivery and operational excellence of the Trust Data Platform, ensuring high availability, scalability, performance, and reliability
Build and evolve foundational data platform capabilities, including data ingestion, ETL/ELT pipelines, data processing, metadata management, and data lifecycle management
Lead the development and operation of cloud-native data lake and data warehouse solutions that support analytics, reporting, operational insights, and AI-driven initiatives
Partner with engineering, security, and data teams to integrate data sources and provide trusted, accessible, and actionable data across Autodesk
Drive the adoption of modern data engineering practices, platform automation, observability, and self-service capabilities that improve developer and data consumer productivity
Establish engineering best practices around software development, platform reliability, data quality, testing, automation, and operational excellence
Lead Agile planning and execution, including backlog prioritization, sprint planning, standups, reviews, retrospectives, and quarterly planning activities
Build, coach, and develop a high-performing engineering team through mentoring, career development, performance management, and technical guidance
Partner with recruiting teams to attract, hire, and retain top engineering talent from diverse backgrounds
Foster a culture of collaboration, innovation, accountability, inclusion, and continuous learning
Communicate platform strategy, delivery progress, risks, and business impact to stakeholders and senior leadership