Senior Forward Deployed Engineer – Public Sector

🕒 vor 15 Tagen

☕ Washington – Remote

infoinfo

💵 $182.000 - $250.208 / Jahr

⏰ Vollzeit

🟠 Senior

👷🏻‍♀️ Ingenieur

🦅 H1B-Visum-Sponsor

infoinfo

👻 Geisterscore 1%

infoinfo

🗣️🇺🇸🇬🇧 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

• Handle impactful customer technical projects, including designing and building reference architectures, creating how-to guides, and productionalizing customer use cases • Work with engagement managers to scope professional services work with customer input • Guide strategic customers through transformational big data projects and third-party migrations, including end-to-end design, build, and deployment of big data and AI applications • Consult on architecture and design; bootstrap or implement customer projects to support understanding, evaluation, and adoption of Databricks • Provide escalated support for customer operational issues • Collaborate with Databricks Technical, Project Manager, Architect, and Customer teams to deliver technical engagement components • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and rapidly resolve engagement-specific issues • Report to the regional Manager/Lead

🎯 Anforderungen

• U.S. Secret clearance or above required • 6+ years of experience in data engineering, data platforms, and analytics • Comfortable writing code in Python or Scala • Working knowledge of at least two common cloud ecosystems (AWS, Azure, GCP), with expertise in at least one • Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals • Familiarity with CI/CD for production deployments • Working knowledge of MLOps • Experience designing and deploying performant end-to-end data architectures • Experience with technical project delivery, including managing scope and timelines • Documentation and whiteboarding skills • Experience working with clients and managing conflicts • Technical skills supporting deployment and integration of Databricks-based solutions • 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 provided via Databricks benefits document)

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