Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games
Senior · Atlanta, Грузия · Английский B2
Не указано: формат работы
Навыки
AWS
Azure
Big Data
Bootstrap
CI/CD
Общение с клиентами
Data Lake
Ещё 8
Google Cloud
JavaScript
MLOps
Python
Scala
Spark
TypeScript
Unity
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 .
Задачи
You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
Work with engagement managers to scope variety of professional services work with input from the customer
Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
Consult on architecture and design
bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
Provide an escalated level of support for customer operational issues
You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs
Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues
CSQ127R318
As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform
You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data
RSAs are billable and know how to complete projects according to specification with excellent customer service
You will report to the regional Manager/Lead
Требования
6+ years experience in data engineering, data platforms & analytics
Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
Familiarity with CI/CD for production deployments
Working knowledge of MLOps
Design and deployment of performant end-to-end data architectures
Experience with technical project delivery - managing scope and timelines
Documentation and white-boarding skills
Experience working with clients and managing conflicts
Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
Travel to customers 20% of the time
Databricks Certification
Условия
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
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История публикации
Появилась в Вакандии30 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 30 дней назад
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ГрейдSeniorвычитано из текста вакансии
Формат работыне указан
ГеографияAtlanta, Грузиявычитано из текста вакансии
Зарплата≈ 17 667 USD в месяцнаша оценка, в вакансии не названа
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Посмотреть публикации и даты
greenhouseОсновная публикация · 2026-03-12
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Работодатель
Databricks
50 активных вакансий · вилка работодателя указана в 21%