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MaintainX

AI-driven SaaS for maintenance management

Senior Principal Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 9 years of experience as a data engineer in a modern, production-grade cloud data platform.
  • Meaningful exposure to several platform domains, including infrastructure as code using Terraform or Atmos, change data capture streaming using Kafka, Flink, or Debezium, Databricks operations, data governance, batch and streaming pipelines, and developer experience.
  • A track record of cross-team impact that changes how multiple teams build, decide, or deliver.
  • Strong Python and dbt skills.
  • Demonstrated ability to frame ambiguous technical problems and resolve them with minimal guidance.
  • Experience navigating organizational complexity and aligning stakeholders.
  • Experience making architectural decisions with long-term, multi-year consequences.
  • Strong technical judgment balanced with pragmatism, including knowing when to advocate for an appropriate solution and when to move forward.

Responsibilities

  • Shape the technical direction and architecture of the data platform across infrastructure, Databricks, streaming, data products, and governance.
  • Proactively identify and resolve cross-cutting technical challenges before they become delivery blockers, working across multiple data engineering teams and internal and customer-facing projects.
  • Define and evolve platform-wide standards, patterns, and abstractions adopted across teams.
  • Influence roadmap priorities by framing trade-offs, surfacing opportunities, and driving alignment across engineering, product, and analytics.
  • Drive adoption of changes across teams, in addition to delivering them.
  • Mentor and elevate senior engineers through complex problems and architectural decisions.
  • Navigate ambiguity and lead complex, multi-squad initiatives with minimal direction.

Desired Qualifications

  • Knowledge of compliance and regulatory frameworks, such as GDPR, CCPA, SOC 2, or FedRAMP, and how to translate them into platform controls.
  • Experience designing golden paths and self-service tooling for engineering teams.

About the Company

MaintainX

AI-driven SaaS for maintenance management

MaintainX offers a subscription-based software platform for maintenance and operations management, targeting industrial sectors like manufacturing and food & beverage. The core product is a SaaS system that helps customers track and manage reactive and preventive maintenance, daily operations, inventory, and assets, with AI-assisted capabilities to optimize workflows. The platform includes an open API for integrating with existing systems and an Academy that provides on-demand lessons and certifications. Compared with competitors, MaintainX emphasizes AI-driven maintenance, real-time inventory and asset management, strong integration options, and an educational component to maximize platform usage. The company aims to digitally transform maintenance and operations to boost efficiency and productivity while reducing manual work across industrial sites.

Company size
501-1,000
Company stage
Acquired
Total funding
$242.8M
Headquarters
San Francisco, CA
Founded
2018

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