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Четкая рольЗарплата соответствует рынкуПродуктовая компанияРабота с клиентами
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Forward Deployed Engineer (FDE) (Healthcare & Life Sciences) (Data & AI): Building and productionizing customer-facing data, AI, and application systems on the Databricks platform with an accent on end-to-end architecture, distributed computing, and production delivery. Focus on designing secure and scalable solutions, integrating data pipelines with ML/AI models and user-facing interfaces, and solving complex customer implementation challenges.
Location: Philadelphia, Pennsylvania; 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 annually, with potential eligibility for performance bonus, equity, and benefits.
Company
Databricks provides a unified Data and AI Platform used by organizations to build and scale data applications, analytics, and AI agents.
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 integrations.
Guide customers through technical implementation, evaluation, adoption, and transformation projects.
Collaborate with engagement managers, project managers, architects, engineering, support, and customer stakeholders.
Create reusable accelerators, frameworks, and best practices that scale across accounts and influence 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 end-to-end production data architectures.
Experience delivering technical projects for enterprise clients, managing scope and stakeholders, and holding Databricks Certification.
Culture & Benefits
Hands-on, customer-facing work at the intersection of technology and business impact.
Cross-functional collaboration with engineering, product, developer relations, support, and customer teams.
Comprehensive employee benefits and perks, varying by region.
Inclusive hiring practices and a commitment to diversity and equal employment opportunity.
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