Senior Delivery Solutions Architect – AI Native

🕒 il y a 1 mois

🏄 California, Colorado, +2 états de plus – Distant

🏄 California – Remote ⛰️ Colorado – Remote 🌲 Oregon – Remote ☕ Washington – Remote

💵 $219 100 - $301 300 / an

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

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Databricks

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2013

🤖 Intelligence artificielle

🏢 Entreprise

☁️ SaaS

💰 €1 600 000 000 Series H en 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks est une entreprise spécialisée dans les données et l'IA, offrant une plateforme unifiée pour l'ingénierie des données, l'apprentissage automatique et l'analytique. Elle se concentre sur l'optimisation du traitement des grandes données et aide les organisations à tirer parti d'Apache Spark pour offrir des analyses plus approfondies et des applications puissantes basées sur les données. Databricks propose également des outils robustes et une intégration transparente pour les opérations d'apprentissage automatique.

Description

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers • Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts • Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks • Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations • Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise • Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals • Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs • Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: • Main use cases moving from ‘win’ to production • Enablement / user growth plan • Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) • Organic needs for current investment (e.g. cloud cost control, tuning & optimization) • Executive and operational governance • Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

🎯 Exigences

• 7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers • Programming experience in Python, SQL or Scala • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role • Understanding of solution architecture related distributed data systems • Understanding of how to attribute business value and outcomes to specific project deliverables • Technical program, or project management including account, stakeholder and resource management accountability • Experience resolving complex and important escalation with senior customer executives • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects • Track record of overachievement against quota, Goals or similar objective targets • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience • Can travel up to 30% when needed.

🏖️ Avantages

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options