Sr. Solutions Engineer - Public Sector (Defense Industrial Base)

Навыки

• AWS
• Azure
• Big Data
• Data Lake
• Отладка и поиск ошибок
• Google Cloud
• Hadoop

О компании и продукте

• Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
• This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value

Задачи

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult 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 3rd party applications
• Build and present references architectures, how-tos, and demo applications for customers
• Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region
• FEQ427R313
• While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered
• Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform
• In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor
• You will report to the Sr
• Field Engineering Manager for the team
• Important Eligibility Requirement: Due to contractual requirements supporting U.S
• Public Sector customers, this position requires U.S. citizenship
• Candidates who are not U.S. citizens are not eligible for consideration

Требования

• U.S. citizenship is required due to contractual requirements supporting U.S. Public Sector customers
• 5+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in and debugging in Python and SQL
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in at least one of the following
• Data Engineering technologies ( Ex: Spark, Hadoop, Kafka )
• Data Warehousing ( Ex: SQL, OLTP/OLAP/DSS )
• Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, HPO )
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning
• As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees

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