обновлено 1 день назад
Senior Forward Deployed Engineer (FDE) (Healthcare & Life Sciences)
182 000 - 250 208$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Forward Deployed Engineer (FDE) (Healthcare & Life Sciences) (Databricks Data & AI Platform): Building and productionizing customer data, AI, and application solutions with an accent on end-to-end architecture, distributed computing, and production delivery. Focus on designing secure scalable systems, integrating Spark and ML/AI models, and solving complex customer challenges through hands-on technical delivery.
Location: New York City, New York; candidates located anywhere within the Central or Eastern Time Zones are also eligible. Travel to customers is required 20% of the time.
Salary: $182,000–$250,208 USD per year, with potential annual performance bonus, equity, and benefits.
Company
Databricks provides a unified Data and AI Platform used to build and scale data, analytics, machine learning, and AI applications.
What you will do
- Lead customer technical projects by designing and delivering production-grade data, AI, and application solutions.
- Own architecture and design decisions for secure, scalable end-to-end systems.
- Build data ingestion pipelines, custom applications, reference architectures, and ML/AI model integrations.
- Embed with customer teams, guide architecture and implementation, and support successful platform adoption.
- Collaborate 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 among AWS, Azure, and GCP, with expertise in one.
- Deep experience with distributed computing using Apache Spark and knowledge of 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 outcomes, documenting solutions, and handling broad stakeholder relationships.
Nice to have
- Databricks Certification.
- Curiosity and adaptability when exploring technologies that support Databricks-based solution deployment and integration.
Culture & Benefits
- Hands-on, customer-facing work focused on measurable business outcomes.
- Cross-functional collaboration with engineering, product, developer relations, customer support, and customer teams.
- Comprehensive benefits and region-specific perks.
- Annual performance bonus and equity may be included in the compensation package.
- Inclusive hiring practices and a commitment to diversity and equal employment opportunity.
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