Staff Data Engineer (Python, LLM, Data Platforms) – Remote

About the CompanyAn international media and digital analytics organization is seeking a Staff Data Engineer (formally titled Staff Engineer – Data Engineering) to lead the evolution of its large-scale data platforms. This is a senior, high-impact individual contributor role focused on data architecture, cross-platform integration, and building LLM-powered data products. You’ll work across multiple systems and teams to define long-term architecture and ensure platforms scale reliably in a complex environment. This is a data engineering and platform architecture role—not an ML model development position. Experience in streaming platforms (e.g., Spotify, Netflix, Hulu) or B2B SaaS environments is strongly preferred.About the RoleKey ResponsibilitiesDesign and own scalable, cross-platform data architecture across complex systemsLead integration of data platforms to enable unified insights and product capabilitiesBuild and optimize large-scale data pipelines (batch and streaming) and data models using Python and modern frameworksDevelop production-grade Python code for data processing, platform services, and LLM-enabled workflowsDesign and deliver LLM-powered applications and data productsEstablish best practices for data modeling, pipeline design, and system observabilityMentor engineers and raise the technical bar across teamsTranslate business needs into clear, scalable architectural decisionsContribute to architecture reviews, roadmap planning, and on-call support Qualifications8+ years of experience in data engineering or data architectureProven experience working in complex, multi-system or multi-team environmentsStrong Python expertise (5+ years of hands-on, production-level development)Experience building LLM-powered systems or data-driven AI applications in productionDeep experience with large-scale data architecture (pipelines, modeling, warehousing)Strong communication skills — able to clearly articulate architectural decisionsDemonstrated success mentoring engineers and elevating team performance Required SkillsExperience in streaming platforms or B2B SaaS environmentsExperience with Snowflake, BigQuery, or similar cloud data warehousesFamiliarity with Kafka or real-time streaming architectureExperience with Kubernetes or containerized environmentsTrack record of cross-platform or cross-division data integrationPassion for mentorship, teaching, and building engineering culture Technical EnvironmentCloud data warehouses (Snowflake, BigQuery, or similar)Data processing & orchestration (Spark, Airflow)Streaming platforms (Kafka or equivalent)Batch and real-time data pipelinesCloud-native / containerized environments (Kubernetes a plus) What Success Looks LikeFirst 90 days: Deliver an architectural assessment and identify integration opportunities6 months: Lead a cross-platform data or LLM-driven initiative12 months: Own the data architecture roadmap and mentor multiple engineers BenefitsMedical, Dental, and Vision coverage401(k) with company matchGenerous paid parental leaveFlexible work schedule + unlimited PTOMonthly stipends (home office, internet, wellness)Annual company eventCollaborative culture with strong work-life balance Equal Opportunity StatementWe are committed to diversity and inclusivity in our hiring practices.