Software Engineer II, Data Lakehouse

This staff software engineer role architects high-throughput streaming pipelines for the next-generation Data Enrichment Platform. The engineer will lead the design of distributed streaming architectures using Kafka Streams, Spark, and Flink, drive the transition to a Lakehouse architecture, and own stability of pipelines processing massive events per second.

This DevOps Engineer II role focuses on managing Databricks infrastructure and production workloads, including cluster management, cost optimization, and governance. The engineer also handles AWS infrastructure, Kubernetes/EKS clusters, database administration, and CI/CD pipelines, ensuring reliability and performance at scale.

This senior software engineer role focuses on building and running super stable and scalable data architectures. The engineer will design and develop high-throughput backend services and REST APIs using Java and Spring Boot, and build data pipelines for products, analytics, and ML teams. The role requires experience with big data technologies and a strong grounding in distributed systems.

Design and develop scalable big data solutions to support Adform's advertising platform. Work with large-scale data processing technologies to enable real-time analytics and insights.

This role owns the end-to-end process for building internal product enablement for Braze's technical customer-facing teams (TAMs, TAs, Support, SCs), from intake to launch, aligned with the product release calendar. The manager designs and delivers hands-on enablement sessions, labs, and workshops, and creates technical resources like FAQs, reference architectures, and certification paths. The role requires strong project management, deep technical knowledge of APIs/SDKs, and the ability to measure enablement impact through operational data.

This quota-carrying Account Manager role drives customer retention and expansion across Braze's strategic client base in Mexico and Central America, managing a portfolio of key accounts and acting as the main commercial point of contact. The role requires expertise across the full sales cycle from opportunity identification to Closed Won, with a focus on renewals, upsells, and net retention. Trilingual fluency in English, Spanish, and Portuguese is required, along with 5+ years of enterprise SaaS account management experience.

This role focuses on accelerating customer adoption of BrazeAI's agentic products (Decisioning Studio, Agent Console, Operator, MCP) by running workshops, diagnostics, and accelerators. The AI Architect will work directly with enterprise customers to identify use cases, prototype AI agents, and measure ROI, requiring deep Braze platform knowledge and consultative skills. The position involves up to 25% travel and is based in New York supporting the AMER region.