SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloud’s solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and
SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloud’s solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and
Qualifications 8+ years of experience in cloud data architecture on one or more major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake, or Microsoft Fabric), giving you the judgment to distinguish a sound technical concept from a flawed one
Qualifications: Bachelor’s degree – Computer Science or a minimum of 5 years’ progressive experience in a related field. 3+ years of experience in analytics, SQL, and/or ETL development. Proficiency in data warehousing/business intelligence development/data modeling. 3+ years’ experience
Qualifications: Bachelor’s degree – Computer Science or a minimum of 5 years’ progressive experience in a related field. 5+ years of experience in analytics, SQL, and/or ETL development. Proficiency in data warehousing/business intelligence development/data modeling. 5+ years’ experience
Work Experience: 10+ years of experience designing, building, and optimizing scalable data platforms, with strength in Snowflake, Databricks and modern Lakehouse architecture. Prior experience in a pre-sales, consulting, solutions engineering, or technical advisory capacity within an enterprise technology
Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by
Job Description About the Role The Data Engineering Manager will lead a team of data engineers focused on building and operating Customer data platforms supporting OnStar, Connected Services, Customer, Marketing, Personalization, AI, and Advanced Analytics. This is a highly
Job Description This role is categorized as hybrid. This means the successful candidate is expected to report to Warren Global Technical Center or Austin Technical Center three times per week, at minimum [or other frequency dictated
Job Description This role is categorized as hybrid. This means the successful candidate is expected to report to Warren Global Technical Center or Austin Technical Center three times per week, at minimum [or other frequency dictated
General Information Locations: Offsite - Southern California, California, United States of America Location: Austin State: Texas Country: United States of America Location: Vancouver State: British Columbia Country: Canada Role ID 215733 Worker Type Regular Employee Studio/Department
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Data Engineering Manager The Data Engineering Manager will lead a team of data engineers focused on building and operating customer data platforms supporting OnStar, Connected Services, Customer, Marketing, Personalization, AI, and Advanced Analytics. This is a highly technical leadership role
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