Top Big Data Jobs in Los Angeles, CA

Provide executive technical leadership to shape technical strategy and architecture across multiple businesses; act as final decision-maker on cross‑org architecture, partner with CTO, align engineering execution with business priorities, remove ambiguity, and raise technical decision quality.

As a Lead Product Manager, you'll drive AI-based consumer products from concept to commercialization, managing strategy, execution, and P&L while collaborating with cross-functional teams.

Design and build microservice-based APIs for reporting and analytics. Manage projects and collaborate with teams to enhance API developer experience, ensuring code quality and production reliability.

Responsible for legal support across various aspects of the business, including privacy compliance, contract negotiation, and strategic guidance while collaborating with cross-functional teams.

Hunt and close net-new commercial and mid-market accounts for Nasuni's cloud-native file data and hybrid cloud storage platform. Build and manage pipeline, qualify opportunities, engage channel and cloud partners, use Salesforce for forecasting, and collaborate with internal teams to meet quota and drive measurable new-logo revenue.

Perform 24/7 SOC monitoring and incident response across networks, endpoints, cloud and SaaS; triage, investigate, and remediate incidents; collaborate with vulnerability management, FedRAMP, and engineering teams; refine detection/playbooks; maintain incident documentation and SOC processes; support FedRAMP-related security and privacy responsibilities and periodic background investigations.

Lead product data analytics: analyze large datasets, build models and dashboards, design and evaluate A/B tests, advise product decisions, automate analytics with AI-enabled tools, and collaborate with global R&D and product teams to deliver actionable insights.

The role involves meeting customers to understand integration requirements, building tailored solutions, conducting tests, and feedback to engineering. The focus is on integrating diverse systems using Python, SQL, and APIs.

Serve as a Senior Data Analytics Consultant specializing in Dynatrace and observability to analyze digital experience data, produce dashboards and reports, advise 4–8 enterprise clients, present findings to technical and executive audiences, configure tooling, influence product roadmap, and support client enablement and account growth.

Host and scriptwrite automotive video content for Edmunds and CarMax across YouTube and social channels. On-screen talent duties include driving and evaluating test vehicles, researching and writing scripts, fact-checking, collaborating with video/social/test teams, generating social assets, managing assignments in Monday.com, attending events, and producing companion written content. Requires regular driving and occasional travel, commuting to Santa Monica.

Lead design and build of scalable backend systems and data platforms; own architecture and production deployments; improve reliability, performance, and observability; mentor engineers and collaborate with Product, Data Science, SRE, and Security.