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Customer-facing senior engineer who designs, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads architecture, implements data pipelines, integrates ML/AI models and apps, manages technical delivery, and builds reusable assets while embedding with enterprise customers to drive measurable outcomes.

Lead GEO and AI search optimization to increase Databricks' visibility and citations across AI answer engines and organic search. Build experimentation programs, publish AI-citable technical content, maintain technical SEO health (schema, crawlability, Core Web Vitals), and partner cross-functionally to drive traffic, conversions, and pipeline while delivering executive reporting and a repeatable GEO playbook.

Solutions Architects lead the adoption of Databricks' platform, consult on big data architecture, and develop solutions for customers. This role involves technical leadership, prototyping, and building reference architectures while collaborating with sales and technical teams.

Lead transformation of global travel, expense, and corporate spend programs into a digital-first, automated model. Build scalable T&E strategy, oversee travel operations, manage suppliers and corporate card programs, implement AI-enabled expense automation and controls, ensure compliance and audit readiness, partner with cross-functional teams, and build a high-performing global team.

Lead pre-sales technical strategy for large enterprise accounts to drive Databricks adoption and ML/AI initiatives. Act as main technical voice, build proofs-of-concept, create technical champions, mentor teammates, and align solutions to customer strategy while engaging executives and managing large global accounts.

Sell Databricks enterprise cloud data platform into net-new accounts by developing account strategies, identifying use cases, engaging buying centers, orchestrating cross-functional teams, and closing deals while exceeding quota.

Lead post-investment partner portfolio strategy for ~15 venture-backed partners, drive joint business plan execution, accelerate partner-sourced pipeline, enforce certification/governance, unblock cross-functional execution, surface scaling signals, and identify next-generation investment candidates.

Customer-facing Solutions Architect driving adoption of the Databricks Lakehouse platform. Design distributed data architectures, build proofs-of-concept, validate cloud integrations, present reference architectures and demos, support escalations, and evangelize open-source projects. Partner with sales to deliver strategic value and advise customers through implementations. Travel up to 30%.

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.

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.