Databricks06.01.2026
Старший архитектор решений — сектор государственного сектора (SLED)
Зарплата не указана
РЫНОК
15 000 ₽медиана по профессии
Solution Architect · 11 вакансий с указанной зарплатой
7 556половина предложений: 15 000–18 258500 000
Работодатель не указал зарплату — сравните с рынком сами.
Remote - California
Обязанности
- 01Exercise and develop expertise in cloud platforms, data engineering, data analytics, and data science and machine learning using open-source projects such as Apache Spark, MLflow, and Delta Lake
- 02Work with customers, teammates, product team, and post-sales teams to identify use cases for Databricks, develop architectures and solutions using the platform, and guide customers through implementation to accomplish value
- 03Build relationships with customers, find and build champions, and become a trusted advisor
- 04Report to the Field Engineering Manager for the team
- 05Partner with the sales team to help customers understand how Databricks can help solve their business problems
- 06Provide technical leadership for customers to evaluate and adopt Databricks
- 07Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other third‑party applications
- 08Build and present reference architectures, how‑tos, and demo applications for customers
- 09Become an expert in and promote Databricks‑inspired open‑source projects (Spark, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences, and webinars
- 10Travel to customers in your region
Требования
- 018+ years in a customer‑facing pre‑sales, technical architecture, or consulting role
- 02Experience designing and architecting distributed data systems
- 03Comfortable programming in and debugging at least one of: Python, Scala, Java, SQL, or R
- 04Experience supporting Public Sector clients
- 05Have built solutions with public cloud providers such as AWS, Azure, or GCP
- 06Experience with Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
- 07Experience with Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
- 08Desired: Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
- 09US Citizen
Условия
- 01Local pay range: $219,100 — $301,300 USD
- 02Eligibility for annual performance bonus
- 03Eligibility for equity
- 04Comprehensive benefits and perks
- 05Travel to customers in your region