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Solutions Architect
Оценка ИИDatabricks — один из самых престижных работодателей в сфере данных и ИИ. Позиция предлагает отличные возможности для профессионального роста, работу с передовыми технологиями и сильную корпоративную культуру.
Сложность вакансии
Оценка ИИРоль требует глубоких знаний в области Big Data (Spark, Delta Lake) и опыта в пресейле. Кандидат должен не только обладать навыками программирования на Python/Scala, но и уметь выступать в роли доверенного советника для крупных клиентов.
Анализ зарплаты
Оценка ИИЗарплата для Solutions Architect в Брисбене в технологическом секторе обычно выше среднего по рынку. Указанный диапазон отражает рыночные стандарты для опытных специалистов в области облачных вычислений и больших данных в Австралии.
Сопроводительное письмо
I am writing to express my strong interest in the Solutions Architect position at Databricks in Brisbane. With a solid background in big data analytics and hands-on experience in designing complex cloud architectures, I have long admired how Databricks democratizes data and AI through its Data Intelligence Platform. My technical proficiency in Python and Spark, combined with a proven track record of supporting sales teams to deliver high-value proofs-of-concept, aligns perfectly with the goals of your Field Engineering team.
Throughout my career, I have focused on bridging the gap between complex technical challenges and business value. I am particularly excited about the opportunity to act as a 'champion' for the Lakehouse architecture and to contribute to the Databricks community through workshops and reference architectures. I am eager to bring my expertise in use case discovery and solution design to help customers in the Queensland region transform their data strategies and achieve meaningful business outcomes with Databricks.
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Откликнитесь в databricks уже сейчас
Присоединяйтесь к лидерам индустрии данных и ИИ в Databricks, чтобы создавать архитектурные решения будущего!
Описание вакансии
FEQ427R64
Location: Brisbane
At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!
The impact you will have:
- Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
- Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
- Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
- Grow your knowledge and expertise to the level of a technical and/or industry specialist.
What we look for:
- Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
- Develop customer relationships and build internal partnerships with account executives and teams.
- Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
- Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).
- Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Навыки
- Python
- Delta Lake
- Apache Spark
- Java
- Big Data
- Data Analytics
- MLflow
- Cloud Computing
- Scala
- Solution Architecture
Возможные вопросы на собеседовании
Проверка понимания ключевой концепции компании.
Как бы вы объяснили преимущества архитектуры Lakehouse клиенту, который в настоящее время использует традиционное хранилище данных?
Оценка практического опыта работы с технологиями обработки данных.
Опишите ваш опыт оптимизации производительности в Apache Spark при работе с крупными наборами данных.
Проверка навыков взаимодействия с клиентами и продаж.
Расскажите о случае, когда вам пришлось преодолевать технические возражения клиента во время демонстрации продукта или Proof of Concept (PoC).
Оценка архитектурного мышления.
Как вы подходите к проектированию масштабируемого конвейера данных в публичном облаке (AWS/Azure/GCP)?
Проверка умения работать в команде с отделом продаж.
Как вы распределяете обязанности с Account Executive при ведении сложной сделки с техническим уклоном?
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