Develop, train, and deploy machine learning models to solve complex business challenges and generate measurable impact. Collaborate with cross-functional teams to transition models from experimentation to production environments while optimizing data pipelines.
Onebridge
12 Remote Job Openings at Onebridge
The Principal Analyst will develop and optimize market-specific planograms while ensuring alignment with merchandising standards and business KPIs. They will also act as a strategic partner to regional stakeholders to drive governance, process efficiency, and retail execution excellence.
Design, develop, and maintain scalable cloud-native applications using Python and Angular on Microsoft Azure. Lead technical initiatives, mentor team members, and drive engineering best practices across the development lifecycle.
Design and maintain production-grade Python automation solutions and data pipelines to enhance security operations. Integrate enterprise security platforms and build AI-assisted workflows to automate triage and reporting.
Build and scale a high-performing partner ecosystem to drive revenue growth and market expansion. Lead the recruitment, onboarding, and management of strategic partners while aligning channel strategies with broader go-to-market initiatives.
Build and scale a high-performing partner ecosystem to drive revenue growth and market expansion. This includes managing partner programs, recruiting strategic alliances, and collaborating with sales and marketing for joint GTM initiatives.
Design and implement scalable end-to-end data platforms using Databricks Lakehouse architecture and Delta Lake. Lead technical design, optimize platform costs, and mentor engineering teams to ensure high-performance data processing.
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using Apache Spark and Databricks. Collaborate with cross-functional teams to translate business requirements into technical data solutions and ensure data quality and reliability.
Responsible for the hands-on configuration and delivery of enterprise-grade Master Data Management solutions using the Profisee MDM SaaS platform. This includes designing entity models, implementing match/merge rules, and partnering with stakeholders to ensure scalable production deployment.
Design and operationalize modern cloud data platforms using Databricks Lakehouse and Medallion architecture. Provide technical leadership in data engineering, AI/ML workloads, and data governance while mentoring teams and aligning platform capabilities with business needs.
The Data Practice Lead will architect scalable data solutions and guide enterprise-scale data transformations across modern cloud platforms. They will also lead pre-sales efforts, advise client executives on data strategy, and mentor internal teams to ensure delivery alignment.
The Snowflake Architect will lead the design and implementation of modern cloud data platforms using Snowflake and Azure. They will also define architectural standards, enforce data governance, and partner with engineering teams to ensure successful project execution.