The Security Data Scientist analyzes data to enhance cybersecurity and IT decision-making, leveraging tools like Power BI while optimizing system behavior and identifying risks.

The Cybersecurity Data Analyst supports device management and endpoint systems, analyzes network behaviors, communicates cyber risks, and aligns work with cybersecurity objectives.

Design, build, and maintain scalable data infrastructure centered around Snowflake. Develop ETL/ELT workflows, ensure data quality, and optimize performance.

The DataOps Engineer develops, deploys, and maintains scalable data pipelines, optimizes workflows, ensures data quality, and collaborates with cross-functional teams.

As an Azure Databricks Architect, you'll establish strategic technology directions, design data solutions, and collaborate in an Agile environment to meet business goals through complex data workflows and architecture best practices.

The Product Owner (ML/AI) manages ML/AI solutions, collaborates with business partners, and oversees product backlogs and development processes while leading Agile practices.

The Snowflake Data Engineer will design, build, and maintain data infrastructure, optimize data pipelines, and ensure data quality while collaborating with stakeholders.

The Databricks Sales Executive will generate business opportunities, foster relationships, and close complex deals in the Databricks ecosystem, driving growth and value for clients.

The Financial Services Sales Executive drives new business in banking and financial services, cultivates stakeholder relationships, and closes multi-year contracts.

The VP of Marketing drives growth through strategic digital marketing, leading a high-performing team and aligning efforts with sales and product teams.