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Manager, Data Engineering
Autodesk
Lead and mentor a team of data engineers building scalable data pipelines and processes for strategic analytics and data science activities.
20d ago
Expert & Leadership (13+ years)
Full Time
Montreal, Quebec, Canada
Office Full-Time
Company Size
11,600 Employees
Service Specialisms
Design
Engineering
Construction
Architecture
Consulting
Product Development
Technology Solutions
Software Development
Sector Specialisms
Building Design
Construction
Automotive
Building Product Manufacturing
3D Animation
Architecture
Engineering
Construction Professionals
Role
What you would be doing
data modeling
etl development
team leadership
operational excellence
scalable solutions
ai integration
- Drive the design and development of data models and ETL/ELT processes that ensure high data quality, availability, and performance
- Promouvoir et mettre en œuvre les meilleures pratiques en matière d'ingénierie des données, notamment les tests, la documentation, la gouvernance et l'observabilité
- Lead and mentor a team of data engineers responsible for developing and maintaining data pipelines and infrastructure on platforms such as AWS and Snowflake
- Establish clear standards for operational excellence and define “what good looks like” across all stages of the data lifecycle
- Partner with analysts, data scientists, FinOps engineers, engineering and product teams to understand data needs and translate them into scalable data solutions
- Collaborer avec les analystes, les scientifiques de données, les ingénieurs FinOps, les équipes d'ingénierie et les équipes produit afin de comprendre les besoins en matière de données et de les traduire en solutions de données évolutives
- Define and drive the long-term vision for data engineering in alignment with Autodesk data platform strategy and analytics roadmap
- Leverage AI-driven approaches in data workflows, including anomaly detection, orchestration optimization, and automated code generation
- Manage project timelines, resources, and priorities across multiple initiatives in a fast-paced, cross-functional environment
- Stay current with emerging trends in data engineering and proactively evolve the team’s capabilities and toolset
- Diriger et encadrer une équipe d'ingénieurs de données chargés de développer et de maintenir des pipelines de données et des infrastructures sur des plateformes telles qu'AWS et Snowflake
- Tirer parti des approches basées sur l'IA dans les flux de données, notamment la détection des anomalies, l'optimisation de l'orchestration et la génération automatisée de code
- Drive scalable architecture through platform systems design and modern design patterns
- Champion and implement data engineering best practices, including testing, documentation, governance, and observability
What you bring
data engineering
etl/elt pipelines
technical leadership
sql/python
data pipelines
cloud data platforms
- Se tenir au courant des nouvelles tendances en matière d'ingénierie des données et faire évoluer de manière proactive les capacités et les outils de l'équipe
- Expérience avec les pipelines ETL et ELT, y compris les outils ETL traditionnels (par exemple, Airflow, Informatica) et les cadres ELT modernes (par exemple, dbt, Snowflake)
- Demonstrated success leading technical teams and delivering complex data engineering projects
- Maîtrise de SQL, Python et des meilleures pratiques en matière de modélisation des données
- Expérience dans la création et la maintenance de pipelines de données à grande échelle, par lots et en temps réel
- Knowledge of FinOps practices, data security, and compliance in cloud environments
- Experience working in product/platform organizations or supporting data engineering for SaaS-based applications
- Diriger la conception et le développement de modèles de données et de processus ETL/ELT qui garantissent la qualité, la disponibilité et la performance des données
- Knowledge of AWS IAM roles, permissions, and best practices for least-privilege access
- 10 ans d'expérience en ingénierie des données, dont au moins 4 ans dans un rôle de direction ou de gestion
- Expérience de travail avec des plateformes de données cloud (par exemple, AWS, Snowflake, Databricks) et des outils d'orchestration (par exemple, Airflow)
- Capacité à mettre en œuvre une architecture évolutive grâce à la conception de systèmes de plateformes et à des modèles de conception modernes
- Gérer les calendriers, les ressources et les priorités des projets dans le cadre de multiples initiatives, dans un environnement dynamique et interfonctionnel
- Passion pour l'accompagnement des talents et la constitution d'équipes inclusives et performantes
- Connaissance des cadres de qualité des données, des outils d'observabilité et du CI/CD pour les données
- Familiarity with data quality frameworks, observability tools, and CI/CD for data
- Experience working with cloud data platforms (e.g., AWS, Snowflake, Databricks) and orchestration tools (e.g., Airflow)
- Proficient in SQL, Python, and data modeling best practices
- Knowledge of big data processing frameworks (e.g. Spark, Hadoop)
- Connaissance des cadres de traitement des mégadonnées (par exemple, Spark, Hadoop)
- Expérience avérée dans la direction d'équipes techniques et la réalisation de projets complexes d'ingénierie des données
- Connaissance des rôles, des autorisations et des meilleures pratiques AWS IAM pour un accès avec le moins de privilèges possible
- Excellent communication and stakeholder management skills
- Définir et piloter la vision à long terme de l'ingénierie des données en accord avec la stratégie de plateforme de données et la feuille de route analytique d'Autodesk
- Excellentes compétences en communication et en gestion des parties prenantes
- Connaissance des pratiques FinOps, de la sécurité des données et de la conformité dans les environnements cloud
- Experience building and maintaining large-scale batch and real-time data pipelines
- 10 years of experience in data engineering, with at least 4 years in a leadership or management role
- Experience with both ETL and ELT pipelines, including traditional ETL tools (e.g., Airflow, Informatica) and modern ELT frameworks (e.g., dbt, Snowflake)
- Expérience dans des organisations de produits/plateformes ou dans le soutien à l'ingénierie des données pour des applications SaaS
- Établir des normes claires d'excellence opérationnelle et définir ce qui constitue une bonne pratique à toutes les étapes du cycle de vie des données
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Company
Overview
Founded in 1982
Year of establishment
Marks the beginning of Autodesk's journey in pioneering design software solutions.
- Pioneered software for 2D and 3D design, revolutionizing industries.
- Known for products like AutoCAD, it reshaped architecture, engineering, and manufacturing workflows.
- Empowering creators in fields from construction to digital media, enabling more innovative designs.
- Develops tools used in iconic projects, from skyscrapers to blockbuster movies.
- Pushes the boundaries of design technology, leading the way in artificial intelligence and automation.
- Software is a cornerstone in diverse sectors, from industrial to infrastructure, energy, and entertainment.
- Cloud-based solutions streamline design processes and foster real-time collaboration across industries.
- A leader in 3D design software, with solutions powering projects in every corner of the globe.
- Committed to shaping the future of digital design, bringing complex visions to life.
- Innovation: We believe in the power of creativity to push boundaries and change the world.
- Collaboration: We work together to create solutions that make a difference.
- Customer Success: We are focused on delivering products and services that help our customers succeed.
- Sustainability: We are committed to making a positive impact on the planet and communities.
- Integrity: We act with honesty and uphold the highest ethical standards.
- Inclusion: We embrace diverse perspectives and strive for an environment where everyone belongs.
2023
Net-zero commitment
Aiming to achieve net-zero carbon status, a critical step in combating climate change.
35%
Carbon emissions reduction
Significant reduction in overall carbon footprint across all emission scopes since 2019.
- Designing products that help users make more sustainable decisions, including tools for low-carbon building design.
- Aims to advance climate resilience by providing tools to better predict and plan for climate risks.
- Promotes circular design principles and helps customers optimize material use and reduce waste.
30% Female Workforce
Gender Diversity
As of 2023, 30% of the global workforce identifies as female, highlighting progress in gender diversity across the organization.
25% Leadership Representation
Female Leadership
25% of leadership positions are held by women, indicating strides toward gender parity in executive roles.
2025 Diversity Goal
Leadership Commitment
A strategic initiative to boost representation of underrepresented groups in leadership positions by 2025.
12 Employee Groups
Employee Resource Networks
Twelve employee resource groups are supported, fostering inclusion and community for diverse populations including women, LGBTQ+, and veterans.
- Leadership Commitment: Has set a goal to increase representation of underrepresented groups in leadership by 2025.
- Inclusive Hiring: Implements inclusive recruitment practices and strives for diverse candidate slates for all roles.
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