Роль четко определена с акцентом на архитектуру данных и взаимодействие с клиентами, плюс конкурентоспособная зарплата выше среднего по рынку, что делает это хорошей возможностью.
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Высокая зарплатаЧеткие обязанностиПродуктовая компанияФокус на государственном секторе
Оценка от Hirify AI
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Hirify AI/Оригинал
TL;DR
Senior Solutions Architect - Public Sector (Defense Industrial Base) (Databricks Data and AI Platform): Designing and implementing distributed data, analytics, and machine learning solutions for U.S. Public Sector customers with an accent on cloud architecture, data engineering, and customer-facing technical leadership. Focus on building proof of concepts, validating integrations, presenting reference architectures, and guiding customers through adoption of Spark, Delta Lake, and MLflow.
Location: Delaware, Maryland, Virginia, or Washington, D.C.; travel to customers in the region is required.
Salary: $219,100–$301,300 USD annually, with potential performance bonus, equity, and benefits.
Company
A data and AI company providing a unified analytics platform for data engineering, analytics, machine learning, and AI applications.
What you will do
Partner with sales teams to identify customer use cases and explain how the unified analytics platform addresses business problems.
Provide technical leadership as customers evaluate, adopt, and implement the platform.
Design big data architectures and implement proofs of concept for strategic projects.
Develop data science and machine learning solutions and validate integrations with cloud services and third-party applications.
Build and present reference architectures, technical guides, and demo applications.
Promote open-source projects including Apache Spark, Delta Lake, MLflow, and Koalas through developer events and technical presentations.
Requirements
U.S. citizenship is required due to contractual requirements supporting U.S. Public Sector customers.
8+ years of experience in customer-facing pre-sales, technical architecture, or consulting roles.
Experience designing and architecting distributed data systems.
Programming and debugging experience with Python and SQL.
Experience supporting Public Sector clients and building solutions with AWS, Azure, or GCP.
Knowledge of data engineering technologies and data warehousing, including Spark, Hadoop, Kafka, SQL, OLTP, OLAP, or DSS.
Nice to have
Degree in a quantitative discipline such as Computer Science, Applied Mathematics, or Operations Research.
Culture & Benefits
Comprehensive employee benefits and regional perks.
Potential annual performance bonus and equity eligibility.
Inclusive workplace committed to equal employment opportunity and diversity.
Opportunity to engage with developer communities through meetups, conferences, and webinars.
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