Delivery Solutions Architect – Digital Native Business

🕒 Maio 18

🗽 New York, Massachusetts, +2 estados a mais – Remoto

🗽 New York – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote ☕ Washington – Remote

💵 $180.000 - $247.500 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

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Databricks

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2013

🤖 Inteligência Artificial

🏢 Corporativo

☁️ SaaS

💰 $1.600.000.000 Series H em 2021-08

Artificial Intelligence • Enterprise • SaaS

A Databricks é uma empresa de dados e IA que oferece uma plataforma unificada para engenharia de dados, machine learning e analytics. Focada em otimizar o processamento de big data, ajuda organizações a aproveitar o Apache Spark para gerar insights mais profundos e criar aplicações poderosas orientadas por dados. A Databricks também disponibiliza ferramentas robustas e integração perfeita para operações de machine learning (MLOps).

Descrição

• Engage with Solutions Architects to understand the full use case demand plan for prioritised 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

🎯 Requisitos

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI • 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

🏖️ Benefícios

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities