Delivery Solutions Architect – Oil & Gas

🕒 vor 14 Tagen

🏄 California, Texas – Remote

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💵 $180.000 - $247.500 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

💻 Lösungsingenieur

🦅 H1B-Visum-Sponsor

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👻 Geisterscore 1%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Databricks

1001 - 5000 Mitarbeiter

Gegründet 2013

🤖 Künstliche Intelligenz

🏢 Unternehmen

☁️ SaaS

💰 €1.600.000.000 Series H im 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks ist ein Daten- und KI-Unternehmen und bietet eine einheitliche Plattform für Data Engineering, Machine Learning und Analytics. Der Schwerpunkt liegt auf der Optimierung der Big-Data-Verarbeitung. Databricks unterstützt Organisationen dabei, Apache Spark zu nutzen, um tiefere Erkenntnisse und leistungsstarke, datengetriebene Anwendungen bereitzustellen. Zudem stellt Databricks robuste Tools und eine nahtlose Integration für MLOps (Machine Learning Operations) bereit.

Beschreibung

• Collaborate with sales and field engineering teams to accelerate customer adoption and growth of the Databricks platform • Increase technical accountability and guide complex customers in maximizing platform value and return on investment • Lead post-technical-win account strategies and execution plans across strategic customer accounts • Own technical leadership for assigned use cases and customers across selling teams and internal stakeholders • Drive onboarding, enablement, success, go-live, and healthy workload consumption • Act as the first contact for technical issues and questions regarding production and go-live status • Coordinate Shared Services, User Education, Onboarding/Technical Services, Support, and expert technical resources • Create and execute plans to accelerate key use cases into production and coordinate Professional Services proposals • Navigate Product and Engineering teams for innovations, private previews, and upgrades • Develop execution plans covering production use cases, enablement, product adoption, cloud cost control, tuning and optimization, and governance • Provide internal and external KPI updates on usage, customer health, investment status, risks, product adoption, and use-case progression to the Technical GM

🎯 Anforderungen

• 5+ years of experience accountable for technical project or program delivery in Data and AI • Ability to contribute to technical debates and design choices with customers • Programming experience in Python, SQL, or Scala • Experience in customer-facing pre-sales, technical architecture, customer success, or consulting • Understanding of solution architecture for distributed data systems • Understanding of attributing business value and outcomes to project deliverables • Technical program or project management experience, including account, stakeholder, and resource management accountability • Experience resolving complex escalations with senior customer executives • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing complex programs/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 • Ability to travel up to 30% when needed

🏖️ Vorteile

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks; specific regional details are provided via the employer’s benefits information

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