About the role
MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100 , the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match. The Opportunity: We are seeking a Senior Data Developer with a strong background in data governance to join our growing team. You will own the governance foundation that underpins the MaintainX data platform, product and internal analytics, spanning quality, access, classification, discoverability, lineage, retention, and compliance. You will extend your influence across engineering systems and company-wide data sources, implementing frameworks, tooling, and policies that ensure the data ecosystem is well-governed at MaintainX. What You’ll Do: Own and evolve the data governance framework across the data platform, including quality, access, discoverability, retention, classification, residency, compliance, and lifecycle Define and enforce data quality standards; build and maintain data contracts, automated quality checks and data observability tooling Manage data access controls across the data platform (Unity Catalog, RBAC, row/column-level security, service principal management) Own data retention and residency policies; implement lifecycle management Build and maintain the metadata and catalog layer for data discoverability and lineage Partner with other governance teams to translate compliance
requirements into data platform controls About You: Experience building data governance programs in a modern cloud lakehouse environment Hands-on experience with data quality and observability tooling Experience with access control patterns in cloud data platforms (RBAC, row/column-level security) Experience implementing compliance
requirements end-to-end (ex: SOC2, FedRAMP, GDPR) from policy interpretation to platform controls Comfortable driving standards, building frameworks, and influencing practices cross-functionally without direct authority Strong opinions about data contracts and producer/consumer accountability Strong opinions about decentralized data governance
