Senior Forward Deployed Engineer

🔥 1 hour ago

🏄 California – Remote

🏄 California – Remote

💵 $182k - $250.2k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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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

• Work with customers to build and productionize solutions for data and AI challenges using the Databricks platform • Own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development • Lead customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations • Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications • Scope technical delivery work with engagement managers and customer input • Guide customers on architecture and design; bootstrap or implement customer projects • Ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices • Collaborate with Databricks technical teams, project managers, architects, and customer teams to deliver engagement components • Work with Engineering and Customer Support to provide product and implementation feedback and resolve engagement-specific issues • Embed with customer teams and engage stakeholders from technical individual contributors to executives • Contribute reusable accelerators, frameworks, and best practices that scale across accounts and influence the Databricks product roadmap • Train customers and support their technical needs to maximize the value of their data

🎯 Requirements

• 6+ years of experience in data engineering, data platforms and analytics, or software engineering • Comfortable writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks • Working knowledge of at least two common cloud ecosystems: AWS, Azure, or GCP; 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, ML/AI models, and AI APIs • Experience designing and deploying performant production end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces • Experience with technical project delivery, including managing scope, timelines, and measurable outcomes • Ability to translate complex concepts into actionable solutions • Documentation and white-boarding skills • Experience working with enterprise clients and managing conflicts across broad stakeholder groups • Curiosity, adaptability, and eagerness to explore technologies supporting Databricks-based solution deployment and integration • Willingness to travel to customers 20% of the time • Databricks Certification

🏖️ Benefits

• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks tailored to employees' regional needs • Equal employment opportunity and inclusive workplace practices

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