Solutions Architect - AI Natives Business, Strategic
Middle · Удалённо · США · Английский B2
Навыки
AWS
Azure
Big Data
Data Lake
Отладка и поиск ошибок
Google Cloud
Hadoop
Ещё 13
Kafka
Лидерство
Machine Learning
MLOps
Оптимизация и OR
Pandas
Python
PyTorch
scikit-learn
Spark
SQL
Iceberg / Delta Lake
TensorFlow
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 .
As a Solutions Architect on the AI native team supporting the Strategic Digital Natives business, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.
Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.
Задачи
You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems
Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows
As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community
Требования
5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
Experience building distributed data systems
Comfortable programming in and debugging Python and SQL
Have built solutions with public cloud providers such as AWS, Azure, or GCP
Expertise in one of the following
Data Engineering technologies ( Ex: Spark, Hadoop, Kafka )
Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, PyTorch, Tensorflow )
Available to travel to customers in your region
[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
Будет плюсом
Databricks Certification
Location: Remote (Pacific Time preferred
Mountain Time considered)
NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply
We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths
Условия
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
Паспорт вакансии
История публикации
Появилась в Вакандии31 день
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 25 дней назад
Среди похожихдольше 99%сравнение с 228 вакансиями той же роли и грейда
Долго открыта
Вакансия висит дольше 99% похожих вакансий. Это не значит, что она закрыта, но откликаться стоит с этой оговоркой.
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдMiddleвыведено из другого признака
Формат работыУдалённо
ГеографияСШАвычитано из текста вакансии
Зарплата180 000 — 247 500 USD в годвычитано из текста вакансии
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа100вилку назвал источник
Свежесть1свежее 1% похожих вакансий
Проверка Вакандии
Источники и свежесть
Тип источника
Карьерный сайт работодателя
Найдено публикаций
1
Посмотреть публикации и даты
greenhouseОсновная публикация · 2026-08-03
D
Работодатель
Databricks
50 активных вакансий · вилка работодателя указана в 21%