We are seeking multiple Senior Data Developer professionals to join our growing team. You will help build and maintain the data platform that directly powers the MaintainX product and enables internal analytics, BI, and AI applications, while developing platform capabilities and tooling used by engineering teams daily. You will contribute across the data platform, including pipelines (batch and streaming), deployment, governance, and developer tooling.
What you'll do:- Build and evolve the Databricks-based data platform used for product features, machine learning, and internal reporting
- Design and develop reliable and scalable data ingestion and transformation pipelines
- Build platform abstractions and tooling that improve developer experience for data producers and consumers
- Build platform capabilities that allow consumers to model raw data into clean, reliable datasets that power both product features and internal analytics
- Improve observability, testing, and monitoring to ensure enterprise-grade reliability and performance
- Manage and contribute to data governance, security, compliance, and access controls
- Contribute to platform standards and architecture as the data platform scales
- Collaborate with engineering, machine learning, product, and analytics teams to support their data use cases
About you:- 5+ years of experience as a data engineer in a modern, production-grade cloud data platform (Databricks or similar equivalent)
- Experience operating under ambiguity and making technical tradeoffs that balance velocity and value delivery with maintainability and technical debt
- Strong Python and SQL skills
- Experience with CDC pipelines
- Experience managing CI/CD pipelines and cloud infrastructure using IaC
- Experience with event-streaming with Kafka and Flink (or similar data-streaming architectures)
- Experience in query optimization, resource allocation and management, cost management, and data lake performance
- Experience working in a fast-paced, agile environment
- 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 Que9bec on a daily basis.
Nice-to-haves:- Experience building and implementing compliance and regulatory frameworks (ex: GDPR, CCPA, SOC2, FedRAMP)
- Experience building frameworks to monitor and improve data quality and trustworthiness
- Knowledge of semantic search and/or vector store infrastructure
- Experience building AI-augmented data engineering workflows
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.
