Top Big Data Jobs in Los Angeles, CA

Support Rubrik’s relationships with two Global Systems Integrator partners by developing pipeline, coordinating co-sell and account-planning activities, tracking partner adoption and bookings, supporting deal registration and forecasting, and reporting program health. The role maintains relationships with partner and internal sales teams, helps communicate joint value propositions, and coordinates ecosystem solutions. It requires 2–4 years of partner, channel, or named-account sales experience and 30–40% travel.

Own bookings growth across Southern California by acquiring new enterprise accounts and expanding existing customers. Develop territory and account strategies, generate pipeline, qualify and close complex technology sales, and consistently exceed quota. Collaborate with sales engineers, sales development, channel teams, distributors, VARs, and partners. Present cybersecurity and data resilience solutions in complex data center environments while identifying new market and partnership opportunities.

Own and execute Magnite’s mobile in-app advertising product strategy for the DV+ platform. Lead mobile initiatives, SDK integrations, product prioritization, customer and partner feedback, cross-functional delivery, documentation, go-to-market activities, and adoption. Serve as the internal mobile advertising subject matter expert while using data and AI tools to develop scalable solutions and improve operational efficiency.

Design and implement a distributed query optimization system for MongoDB. Research query systems, architect features, write and review production-quality C++ code, debug large codebases, coordinate cross-team integrations, and mentor engineers while shaping long-term roadmap and performance improvements.

Own the strategy, performance, growth, partnerships, and roadmap for CouponFollow’s browser extension and mobile apps. Lead consumer product business planning, revenue and KPI accountability, acquisition and retention analytics, CPA/CPI partnerships, affiliate distribution, creator growth, compliance, and cross-functional execution with product, engineering, data, legal, and leadership teams.

Supports healthcare mergers, acquisitions, partnerships, and strategic investments through financial modeling, valuation, due diligence, transaction execution, opportunity research, and executive presentations. The Analyst develops DCF and comparable-company analyses, evaluates synergies and operational impacts, coordinates with internal teams and external advisors, prepares investment memoranda, and improves deal-management processes.

Design, build, and deploy production-scale ML models and ranking systems for personalization and advertising. Take end-to-end ownership of models and services, implement evaluation harnesses and automated tests, and maintain data pipelines using Hadoop/Spark/Kafka. Collaborate across teams and present technical findings, while ensuring scalable, reliable system architecture and rapid iteration using AI-assisted coding tools.

Lead end-to-end delivery of ad measurement campaigns: plan, align media/assets/sampling, coordinate Ad Ops/Analytics/Product/Sales/Insights, manage timelines and risks, communicate with customers, and ensure data accuracy and actionable insights.

The FP&A Manager, GTM will lead go-to-market reporting, budgeting, forecasting, pipeline coverage modeling, and unit economics analysis. The role partners with sales and marketing leadership on channel investments, sales capacity, quota coverage, headcount planning, and strategic opportunities. Responsibilities also include building scalable reporting processes, conducting variance and ad hoc financial analyses, and improving measurement standards in a fast-growing, remote healthcare company.

Own implementation, maintenance, and optimization of client eligibility and claims data feeds. Analyze feed performance, troubleshoot discrepancies, produce error reports, test integrations with external partners, and improve internal tools, documentation, and processes to increase automation and reliability.

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.

Develops and maintains Databricks data architecture, harmonizes multiple data sources, and manages Power BI reporting. Owns sales forecasting, snapshot management, trade reporting, and gross-to-net analysis. Translates complex analyses into actionable business insights, supports S&OP cycles, and collaborates with Sales, Marketing, and Operations. Requires strong statistical programming, database development, data visualization, forecasting, and cross-functional communication skills.