Senior Forward Deployed Engineer – Public Sector

🔥 5 minutes ago

☕ Washington – Remote

☕ Washington – Remote

💵 $182k - $250.2k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

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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

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks (specific regional details provided via Databricks benefits document)