обновлено 6 дней назад
Senior Forward Deployed Engineer (FDE) (Retail)
182 000 - 250 208$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Forward Deployed Engineer (FDE) (Retail) (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 enterprise delivery. Focus on designing scalable production systems, integrating data pipelines with ML/AI models and user-facing interfaces, and delivering measurable outcomes for strategic customers.
Location: Remote - California; travel to customers 20% of the time
Salary: $182,000–$250,208 USD annually, plus potential annual performance bonus, equity, and benefits
Company
Databricks is a data and AI product 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 and implement reference architectures, custom applications, data ingestion, and ML/AI model integrations.
- Guide enterprise customers through implementation, evaluation, adoption, and technical transformation.
- Collaborate with project managers, architects, engineering, support, and customer 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.
- Production coding experience with Python, Scala, JavaScript or TypeScript and modern frameworks.
- Experience with at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in at least one.
- Deep experience with distributed computing using Apache Spark, including Spark runtime internals.
- Experience with CI/CD, MLOps, ML/AI models and APIs, and end-to-end data architectures.
- Experience delivering technical projects for enterprise clients, managing scope and stakeholders, and translating complex concepts into actionable solutions; Databricks Certification required.
Nice to have
- Experience creating technical documentation and leading whiteboarding sessions.
- Curiosity, adaptability, and eagerness to explore technologies supporting Databricks-based solutions.
Culture & Benefits
- Hands-on, customer-facing work at the intersection of technology and business impact.
- Collaboration with customers, engineering, product, developer relations, and customer support.
- Comprehensive regional benefits and perks.
- Potential annual performance bonus and equity eligibility.
- Inclusive hiring practices and a focus on a diverse workplace.
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