обновлено 2 месяца назад
Sr. Forward Deployed Engineer (FDE) (AI/Manufacturing)
182 000 - 250 208$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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TL;DR
Sr. Forward Deployed Engineer (FDE) (AI/Manufacturing) (Data Engineering, AI): Building and productionizing customer-facing data, AI, and application solutions on the Databricks platform with an accent on end-to-end architecture, distributed computing, and production deployments. Focus on designing scalable systems, integrating data pipelines with ML/AI models and user interfaces, and delivering complex projects for enterprise manufacturing customers.
Location: Seattle, Washington, United States; travel to customers 20% of the time
Salary: $182,000–$250,208 USD per year, plus potential annual performance bonus, equity, and benefits
Company
Databricks is a Data and AI company providing a unified platform for data engineering, analytics, machine learning, and AI applications.
What you will do
- Build and productionize customer solutions spanning data engineering, AI, and application development.
- Lead architecture, design, and implementation of secure, scalable end-to-end systems.
- Deliver data ingestion, custom applications, reference architectures, and ML/AI model integrations.
- Guide enterprise customers through big data and AI transformations, including project scoping and deployment.
- Work with customer stakeholders, project managers, architects, engineering, and support teams to deliver technical engagements.
- Create reusable accelerators, frameworks, and best practices that scale across accounts and inform the product roadmap.
Requirements
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Programming experience with Python, Scala, JavaScript/TypeScript, and modern frameworks.
- Working knowledge of at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in one.
- Deep experience with distributed computing using Apache Spark, including Spark runtime internals.
- Experience with CI/CD, MLOps, ML/AI models and APIs, and production end-to-end data architectures.
- Experience delivering technical projects for enterprise clients, managing scope and timelines, documenting solutions, and handling stakeholder conflicts.
Nice to have
- Databricks Certification.
- Curiosity and adaptability when exploring technologies for Databricks-based solution deployment and integration.
Culture & Benefits
- Hands-on, customer-facing work focused on measurable business outcomes.
- Collaboration with engineering, product, developer relations, customer support, and customer teams.
- Comprehensive benefits and perks, with details varying by region.
- Inclusive hiring practices and a diverse working environment.
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