2 дня назад
Senior Solutions Architect - Public Sector (Defense Industrial Base)
219 100 - 301 300$
Мэтч & Сопровод
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Описание вакансии
Текст:
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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