обновлено 2 дня назад
Senior Forward Deployed Engineer (FDE) (Public Sector)
182 000 - 250 208$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Forward Deployed Engineer (FDE) (Public Sector) (Data & AI): Building and productionizing end-to-end data, AI, and application solutions for federal government customers with an accent on secure architecture, distributed computing, and customer-facing delivery. Focus on designing scalable production systems, integrating data pipelines with ML/AI models and user-facing applications, and guiding complex enterprise implementations.
Location: Hybrid role associated with Virginia and Washington, D.C.; requires travel to customer locations 20–25% of the time.
Salary: $182,000–$250,208 USD annually, with potential annual performance bonus, equity, and benefits.
Company
Databricks builds a unified data and AI platform used by organizations worldwide to develop analytics, data applications, and AI solutions.
What you will do
- Build and productionize data, AI, and application solutions for federal government customers.
- Own architecture and lead design decisions for secure, scalable end-to-end systems.
- Design reference architectures, custom applications, data ingestion pipelines, and ML/AI model integrations.
- Guide customers through architecture, implementation, evaluation, and adoption of Databricks solutions.
- Collaborate with engineers, project managers, architects, customer teams, and support to deliver technical components and resolve issues.
- Create reusable accelerators, frameworks, and best practices that scale across customer accounts.
Requirements
- Active Secret or Top Secret security clearance required.
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Fluency in 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, production data architectures, technical project delivery, documentation, and enterprise stakeholders.
Nice to have
- Expertise in MLOps, ML/AI models, and AI APIs.
- Databricks certification.
Culture & Benefits
- Customer-facing role focused on measurable technical and business outcomes.
- Cross-functional collaboration with engineering, product, developer relations, and customer support.
- Opportunity to influence product priorities through customer and implementation feedback.
- Benefits package with potential performance bonus and equity eligibility.
- Inclusive workplace committed to equal employment opportunity.
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