Senior Manager, Axonius

• A great team player with a can-do approach
• 8+ years of experience in Data and related domains including big data pipelines, cloud data warehouses, SQL and NoSQL databases, data analysis and integrations
• 3+ years of experience recruiting and managing technical teams
• Experience building and maintaining data catalogs and making data widely available
• Experience collaborating with business partners to develop roadmaps and driving outcomes
• Proficiency with one or more programming languages - Python/Scala/Java/Go
• Proficiency with SQL and experience with ETL and data modeling
• Experience working with and integrating with SaaS applications such as Salesforce, Marketo, Netsuite and Workday
• Experience in an agile development methodology
• Bachelor's degree in Computer Science or equivalent experience
• Fluent in English, both written and verbal

Desirable

• The Business Systems team at Axonius is seeking a Senior Manager of Data & Integrations to support our rapid growth
• This key role will partner with various teams across the organization to define and implement our data and integration strategy
• This person will be responsible for master data management, establishing data governance, and integrating data into Snowflake and across business systems
• This is a hands-on leadership position where you will mature a critical portion of our data function, manage day-to-day operations, and recruit and lead a team
• Lead the overall data integration strategy, identifying key data sources and establishing data governance policies for data accuracy and consistency
• Collaborate with business functions across the enterprise to understand system capabilities and data needs, communicating integration plans and delivering data solutions
• Recruit and manage a team of data professionals (data engineers, integration specialists, etc.) to design, develop, and maintain data pipelines and a comprehensive data catalog
• Select and implement data integration tools to efficiently move data between systems
• Ensure data is user-friendly, performant, and accessible across the organization
• Ensure all data and pipelines adhere to data privacy regulations and security standards
• Transform raw data into models using dbt