Senior Analytics Developer

Résumé du poste

Build and maintain a scalable data foundation and extensible data models to support product analytics and AI-native workflows. Implement data quality checks, governance policies, and optimize transformation pipelines for performance and cost efficiency.

Détails du poste

MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 13,000 customers, including Duracell, McDonald's, Shell, DHL and Volvo, use MaintainX to cut unplanned downtime and run better operations, across 13.9 million managed assets and 79.5 million completed work orders. In August 2026 MaintainX became part of Autodesk, joining Autodesk Operations Solutions, the organization unifying Autodesk's operations platform alongside Tandem, FlexSim and Fusion Operations. Autodesk's strategy is to converge design, make and operate into one continuous lifecycle: design an asset, build it, run it, then feed what you learn running it back into the next design. Autodesk had design and make. Operate is the phase that tells you what actually happened, and it is ours. The Role You'll build the data foundation that enables every team at MaintainX — from product to operations to AI — to trust and use our data independently. This is a hands-on analytics engineering role where quality, scalability, and self-serve access are the actual deliverables. Build extensible data models that support product analytics, internal reporting, and AI-native workflows at scale Implement data quality checks, validation rules, and governance policies that keep our data accurate and compliant Develop and evangelize analytics engineering tooling that enables stakeholders to build their own models while adhering to best practices Monitor and optimize transformation pipelines and storage for performance, scalability, and cost efficiency Create and maintain comprehensive documentation so datasets are discoverable and usable without hand-holding You'll work closely with engineers, product managers, and business teams across the org. Success at 6–12 months looks like: stakeholders building self-serve confidently, pipelines running cleanly, and the data team spending less time answering "where does this number come from?" Must-haves 4+ years as an analytics engineer building and orchestrating pipelines using dbt and data lakehouse technologies (Databricks or similar) Deep knowledge of dbt, data modeling, and BI best practices — you have a point of view and defend it Strong business and product acumen; you can take an analytics requirement from a non-technical stakeholder and turn it into a self-serve solution Hands-on experience applying software development fundamentals: environment segregation, version control, separation of concerns, release management Track record of technical mentoring and raising the output of the people around you — including non-technical partners An expert level of English, both spoken and written, is required, as the individual will need to lead platform engineering managers across multiple teams, present technical priorities to executive stakeholders, and align with engineering leaders outside Québec on a daily basis. Nice-to-haves Experience with AI-augmented analytics engineering workflows Experience applying analytics engineering to governance and compliance frameworks (anonymization, pseudonymization, data masking) Our mission is to keep the physical world running. Factories, fleets, hospitals and campuses stay up because the people who maintain them have tools worth using. That is what we build. Compensation and benefits. Base pay is one part of the package. Depending on the role, compensation may also include commission, an annual bonus and equity. Benefits differ by country. For roles in the United States, Autodesk’s benefits are described at benefits.autodesk.com. For roles in Canada and other countries, the plan differs on health coverage, retirement and leave, and your recruiter will walk you through it. Belonging. We take pride in a culture where everyone can thrive. More at autodesk.com/company/global-belonging. More on where this is going: Autodesk CEO Andrew Anagnost on building the future of connected operations, and AOS SVP Stephen Hooper on welcoming MaintainX to Autodesk.

Ce que vous ferez

Build and maintain a scalable data foundation and extensible data models to support product analytics and AI-native workflows. Implement data quality checks, governance policies, and optimize transformation pipelines for performance and cost efficiency.

Exigences

Requires 4+ years of experience as an analytics engineer with deep expertise in dbt and data lakehouse technologies like Databricks. Must possess strong software development fundamentals and the ability to translate non-technical requirements into self-serve data solutions.

Avantages

• Commission • Annual Bonus • Equity • Health Coverage • Retirement Plan • Leave

Compétences indiquées

• Control · Souhaitée
• Software · Souhaitée
• Technical · Souhaitée
• Health · Souhaitée
• Teams · Souhaitée
• Analyse de données · Souhaitée
• Compliance · Souhaitée
• Quality Checks · Souhaitée
• Documentation · Souhaitée
• Development · Souhaitée
• efficiency · Souhaitée
• Anglais · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Dbt
• Data Modeling
• Databricks
• Analytics Engineering
• BI Best Practices
• Version Control
• Release Management
• Technical Mentoring
• Data Governance
• Pipeline Orchestration
• Software Development Fundamentals
• Product Analytics

Domaines d’emploi

• Data & Analytics
• Technology
• Software
• Engineering