обновлено 2 дня назад
Sr. Forward Deployed Engineer (FDE) - Manufacturing
182 000 - 250 208$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Forward Deployed Engineer (FDE) - Manufacturing (Data & 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 secure and scalable systems, integrating data pipelines with ML/AI models and user interfaces, and delivering measurable outcomes for enterprise customers.
Location: Boston, Massachusetts, United States; travel to customers 20% of the time
Salary: $182,000–$250,208 USD per year, plus potential 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 and design decisions for secure, scalable, production-grade systems.
- Design reference architectures, custom applications, data ingestion systems, and ML/AI model integrations.
- Guide enterprise customers through implementation, evaluation, adoption, and transformational big data projects.
- Work with project managers, architects, engineering, support, and customer stakeholders to deliver technical engagements.
- Develop 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, with expertise in one of AWS, Azure, or GCP.
- Deep experience with distributed computing using Apache Spark, including Spark runtime internals.
- Experience with CI/CD, MLOps, ML/AI models, AI APIs, and production end-to-end data architectures.
- Experience delivering technical projects for enterprise clients, managing scope and timelines, documenting solutions, and handling broad stakeholder relationships.
Nice to have
- Databricks Certification.
- Curiosity and adaptability when exploring technologies used to deploy and integrate Databricks-based solutions.
Culture & Benefits
- Customer-facing work focused on measurable business and technical outcomes.
- Collaboration with engineering, product, developer relations, customer support, and customer teams.
- Comprehensive benefits and perks, with details varying by region.
- Potential eligibility for annual performance bonus and equity.
- Inclusive hiring practices and a diverse working environment.
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