Top Tech Jobs & Startup Jobs in Seattle, WA

The Strategic Customer Advisor will engage with executives to drive deal outcomes, coach teams, elevate sales strategies, and influence through leadership in high-stakes environments.

As a Solutions Architect, you will work on big data solutions, guide customers through implementation, and collaborate with teams on data engineering and science projects.

The Lakebase Sales Specialist drives revenue by promoting Databricks Lakebase, collaborating with various account teams and managing complex sales cycles to modernize operational data foundations.

Design and run partner presales enablement programs that build hands-on technical proficiency across ISV and C&SI partners. Own curriculum, assessments, roadmaps, KPIs, and large-scale learning events; coach trainers; align cross-functionally to drive partner-sourced pipeline and certification outcomes.

Customer-facing specialist guiding enterprise cloud data engineering and lakehouse transformations. Architect and optimize large-scale data pipelines, perform performance and load testing, support pre-sales POCs and workload sizing, lead adoption workshops, and mentor peers to drive Databricks platform adoption.

Manage and launch innovative learning programs globally, enhance user adoption, and leverage AI and data for effective enablement.

Lead and coordinate high-severity production incidents for cloud-native services, drive root cause analysis and reliability improvements, own incident communications to stakeholders and customers, and mentor peers while maintaining incident playbooks and observability-driven diagnostics.

Own AMER Scale-motion sales enablement for Databricks’ emerging enterprise segment. Build repeatable playbooks, programs, tooling, AI role-plays, and onboarding for hundreds of account executives. Partner with senior sales leadership to prioritize enablement, measure field readiness, consumption, pipeline influence, and ramp time. Adapt global content to regional sales motions, coordinate cross-functional enablement, triage requests, establish feedback loops, and sharpen programs through live deal and coaching engagement.

Customer-facing engineer who architects, builds, and productionizes data and AI solutions on the Databricks platform. Responsibilities include end-to-end system design, Spark-based data engineering, MLOps, cloud integration, stakeholder engagement, and delivering production-grade deployments with reusable assets and measurable outcomes.

Lead customer-facing data engineering and warehousing initiatives on the Databricks platform. Architect and optimize production-scale ETL/ELT pipelines, performance-test workloads, migrate legacy systems to cloud lakehouse architectures, support Solution Architects in technical sales, and provide training, demos, and community contributions.