Search the 11 jobs at Onebridge

The Adobe Technical Lead is responsible for architecting and implementing solutions using Adobe's suite of products. The role includes providing technical leadership, collaborating with different teams, ensuring best practices, and overseeing multiple projects while managing complex, cross-functional initiatives.

As a Product Owner (AWS Glue), you will collaborate with business partners to drive solutions and manage a product backlog. Responsibilities include overseeing data integration and transformation processes, leading Scrum ceremonies, and engaging stakeholders to ensure timely development in alignment with business goals.

As a Salesforce Data Cloud Solution Architect, you will design and implement scalable data solutions within Salesforce, oversee data integration projects, collaborate with development teams on data models, and engage with stakeholders to ensure solutions meet business needs while improving data performance and quality.

As a Technical Lead (ML/AI), you will provide strategic direction for developing ML/AI solutions, coordinating with stakeholders, managing project requirements, and delivering progress updates. The role involves enhancing operations, guiding teams, and ensuring alignment with project goals while fostering relationships with clients.

The Product Owner (ML/AI) is responsible for defining and delivering ML/AI solutions by collaborating with business partners, managing the product backlog, leading Scrum ceremonies, and ensuring alignment with technical goals. This role requires gathering requirements, facilitating stakeholder communication, and continuously improving AI models.

As a Sr. Data Science Solution Architect, you will lead the vision and solutions in healthcare data applications, providing technical leadership in machine learning and AI. Collaborate with teams to develop ML models, ensuring data quality and compliance with healthcare regulations, while mentoring others and driving innovation in healthcare workflows.

The Strategic Data Manager will lead data strategies, oversee data governance, manage data architecture, and drive data-informed decision-making. Responsibilities include implementing data governance policies, creating a data roadmap, engaging with stakeholders, and using data analysis tools to generate insights for projects.

The Azure Databricks Architect is responsible for developing strategic technology architecture and scalable data solutions. This role involves collaborating with teams in an Agile environment, optimizing data workflows, and implementing best practices for data governance and security within Azure Databricks. The Architect will also lead and share knowledge on advanced analytics techniques.

The Snowflake Data Engineer is responsible for designing, building, and maintaining scalable data infrastructure utilizing Snowflake to support business priorities. This involves creating data pipelines, managing ETL/ELT processes, ensuring data quality, and collaborating with stakeholders to drive data governance and quality initiatives.

As a Sales Executive in Data & Analytics, you will manage a sales pipeline, foster client relationships, conduct meetings for customized strategies, negotiate contracts, present sales solutions, and report on sales metrics. Your focus will be on closing significant deals in sectors like Life Sciences and Financial Services.

As a Lead Snowflake Engineer, you will build and maintain data solutions on the Snowflake platform, develop data pipelines, implement governance practices, and mentor a team of data engineers to enhance analytics capabilities and ensure data quality.