Staff Platform Engineer
Beautiful.aiFull Time
Expert & Leadership (9+ years)
The role requires a Staff Data Engineer with experience in developing a modern data platform on Databricks, capable of thinking like a platform engineer, collaborating as a tech lead, and promoting best practices for data engineering. Strong technical expertise in Databricks and experience with data engineering best practices, including testing, CI/CD, data contracts, traceability, governance, cost optimization, performance, observability, maintainability, and orchestration are essential.
As a Staff Data Engineer, you will act as a technical expert of the data platform, designing architecture, improving systems, and guiding technical decisions within the team and stakeholders. You will design and develop tools to facilitate the use of Databricks by internal users, establish and promote best practices throughout the data lifecycle, and collaborate closely with software developers, ML engineers, and analysts to understand their workflows and deliver necessary datasets or tools.
SaaS platform for maintenance management
MaintainX provides a digital platform designed for maintenance and operations management, primarily targeting industrial clients in sectors like manufacturing and food and beverage. The platform operates as a software-as-a-service (SaaS) solution, enabling businesses to track both reactive maintenance, which addresses issues as they arise, and preventive maintenance, which involves regular checks to avoid problems. MaintainX enhances operational efficiency by incorporating artificial intelligence for tasks such as real-time inventory management and asset management. Unlike many competitors, MaintainX offers an open API for easy integration with existing systems and provides educational resources through its Academy to help clients fully utilize the platform. The company's goal is to drive digital transformation in maintenance and operations, improving productivity and reducing manual work for its users.