Delivery Solutions Architect – Oil & Gas

🔥 1 minute ago

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

💵 $180k - $247.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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Databricks

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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