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Описание вакансии
Текст:
TL;DR
Solutions Architect - Public Sector (Databricks Data + AI Platform): Designing data, analytics, and machine learning architectures for public-sector customers with an accent on distributed systems, cloud integrations, and customer-facing technical leadership. Focus on building proof-of-concepts, validating complex integrations, and guiding customers through successful platform adoption.
Location: Maryland, Virginia, or Washington, D.C.
Salary: $180,000–$247,500 USD annually, with potential bonus, equity, and benefits.
Company
Databricks provides a unified Data and AI Platform for organizations building data, analytics, and AI applications.
What you will do
- Partner with sales teams to identify customer use cases and demonstrate how the Databricks platform addresses business needs.
- Provide technical leadership as public-sector customers evaluate and adopt the platform.
- Design big-data architectures, build proof-of-concepts, and implement data science and machine learning solutions.
- Validate integrations with cloud services and third-party applications.
- Create reference architectures, technical guides, and demo applications for customers.
- Build relationships with customers and developer communities through meetups, conferences, and webinars, while traveling to customers in the region.
Requirements
- 7+ years of experience in customer-facing pre-sales, technical architecture, or consulting roles.
- Experience designing distributed data systems and supporting public-sector clients.
- Programming and debugging experience with at least one of Python, Scala, Java, SQL, or R.
- Experience building solutions with AWS, Azure, or GCP.
- Expertise in data engineering, data warehousing, or data science and machine learning technologies.
- Top Secret Security Clearance required.
Nice to have
- Degree in Computer Science, Applied Mathematics, Operations Research, or another quantitative discipline.
Culture & Benefits
- Comprehensive benefits and perks tailored to the employee's region.
- Eligibility for annual performance bonus and equity may be available.
- Inclusive workplace committed to equal employment opportunity and diversity.
- Opportunities to contribute to open-source projects including Apache Spark, Delta Lake, MLflow, and Koalas.
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