About the job
ABOUT BEAMERY
Beamery is at the forefront of innovation in the HR technology sector, delivering a transformative AI platform that empowers enterprise organizations to make equitable and informed talent decisions. Our solutions enhance recruiting efficiency, unlock internal mobility, support targeted upskilling, and facilitate agile workforce planning. Annually, we assist our clients in hiring and redeploying over a million professionals.
Discover more about our impactful initiatives here.
Why Join Us?
As part of our growth, we are enhancing our integrations with leading platforms like SAP, Workday, Microsoft, and LinkedIn to embed our skills intelligence seamlessly into core workforce decision-making processes.
Our advanced AI capabilities are designed to help clients strategically plan for the future, focusing on workforce strategies, internal mobility, and skills forecasting.
We leverage proprietary LLMs and knowledge graph technology to enable organizations to access wider talent pools, make equitable decisions, and enhance opportunities at scale.
At Beamery, we value our company culture, emphasizing trust, empathy, and honesty, allowing our team members to bring their authentic selves to work.
Architect, Design, and Evolve a World-Class Data Platform: Take charge of designing and developing a state-of-the-art data platform utilizing cutting-edge technologies and tools. You will lead the creation and implementation of scalable, high-performance ETL data pipelines and storage solutions, ensuring operational excellence and data accuracy across all pipelines.
Lead the Development of the Analytics and Semantic Layer: Build and maintain a comprehensive analytics layer, creating robust data models and transformations that drive business intelligence. This includes defining core business metrics and feature usage signals, as well as establishing a clean, scalable semantic layer to support advanced analytical and AI applications.
Drive Self-Service Data Empowerment: Develop and manage high-quality data products that enable teams to access reliable insights swiftly. Implement proactive monitoring and alerting systems to ensure data quality and promptly address anomalies in critical metrics or data streams.
Mentor and Guide a Team of Data and Software Engineers: Serve as a technical leader, nurturing the skills and knowledge of a diverse team of data and software engineers.

