Роль четко определена с акцентом на решения в области данных и ИИ для федеральных клиентов, а зарплата соответствует рыночным ожиданиям, что делает это хорошей возможностью.
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Четкая рольЗарплата соответствует рынкуПродуктовая компания
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
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 Alabama, Virginia, and Washington, D.C.; travel to customer locations 20–25% of the time. The role requires an active Secret or Top Secret clearance.
Base salary: $182,000–$250,208 USD annually, depending on location and candidate factors.
Company
Databricks provides a unified Data and AI Platform used to build and scale data applications, analytics, and AI systems.
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 and deliver reference architectures, custom applications, data ingestion, and ML/AI model integrations.
Guide customers through architecture, implementation, evaluation, and adoption of Databricks solutions.
Collaborate with engineers, project managers, architects, customer support, and customer stakeholders from technical contributors to executives.
Create reusable accelerators, frameworks, and best practices while providing feedback that influences the product roadmap.
Requirements
Active Secret or Top Secret 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, including Spark runtime internals.
Experience with CI/CD, MLOps, ML/AI models and APIs, production data architectures, technical delivery, documentation, and enterprise stakeholders.
Nice to have
Expertise in MLOps, ML/AI models, and AI APIs.
Databricks Certification.
Culture & Benefits
Hands-on, customer-facing work focused on measurable technical and business outcomes.
Cross-functional collaboration with engineering, product, developer relations, project management, and customer support.
Comprehensive employee benefits and region-specific perks.
Annual performance bonus and equity may be included in the total compensation package.
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