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Big Data Solutions Architect (Professional Services)
Исключительная возможность работать в компании-лидере индустрии (создатели Spark и MLflow). Вакансия предлагает работу с передовыми технологиями, высокий уровень влияния на успех клиентов и отличные перспективы карьерного роста в глобальной организации.
Сложность вакансии
Высокая сложность обусловлена необходимостью глубоких знаний внутренних механизмов Apache Spark, опыта работы с несколькими облачными провайдерами и навыков консалтинга. Роль требует сочетания сильной технической базы (6+ лет) и умения управлять ожиданиями клиентов в платных проектах.
Анализ зарплаты
Зарплата для архитекторов в Databricks обычно находится на верхнем уровне рынка Франции, часто дополняясь значительным пакетом акций (RSU). Указанные рыночные оценки отражают базовый оклад и бонусы для специалистов уровня Senior/Lead в сфере Big Data.
Сопроводительное письмо
I am writing to express my strong interest in the Big Data Solutions Architect position within the Professional Services team at Databricks. With over six years of experience in data engineering and a deep specialization in Apache Spark and cloud architectures, I have consistently helped organizations transform complex data challenges into scalable, production-ready solutions. My background in designing end-to-end data pipelines and managing client-facing engagements aligns perfectly with the Resident Solutions Architect role.
Throughout my career, I have developed a robust expertise in Python and PySpark, particularly within AWS and Azure environments. I am particularly drawn to Databricks because of its leadership in the Lakehouse architecture and its commitment to democratizing data and AI. I am confident that my technical skills in distributed computing, combined with my experience in managing project scope and stakeholder expectations, will allow me to deliver exceptional value to your strategic customers in France and beyond.
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Описание вакансии
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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.
The impact you will have:
- 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.
What we look for:
- 6+ years experience in data engineering, data platforms & analytics
- Strong expertise in data warehousing concepts, architecture, and migration strategies.
- Comfortable writing code in either Python, Pyspark or Scala
- 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.
- Data Science expertise is a nice-to-have
- Travel to customers 10-20% of the time
- Databricks Certification
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
- AWS
- Azure
- Python
- GCP
- CI/CD
- Data Engineering
- MLOps
- PySpark
- Delta Lake
- Apache Spark
- Architecture
- Data Warehousing
- Scala
Возможные вопросы на собеседовании
Проверка глубокого понимания основного инструмента платформы Databricks.
Можете ли вы объяснить внутренние механизмы работы Spark Catalyst Optimizer и как он влияет на производительность запросов?
Оценка опыта проектирования архитектуры в облаке.
Опишите ваш подход к проектированию отказоустойчивого и масштабируемого ETL-процесса в Azure или AWS с использованием Delta Lake.
Проверка навыков решения проблем в клиентских проектах.
Расскажите о случае, когда требования клиента выходили за рамки бюджета или сроков. Как вы управляли этим конфликтом, сохраняя качество доставки?
Оценка знаний в области DevOps/MLOps, упомянутых в вакансии.
Как вы организуете CI/CD пайплайны для кода Databricks Notebooks или библиотек при переходе из среды разработки в продакшн?
Проверка понимания концепции Lakehouse.
В чем основные преимущества архитектуры Lakehouse перед традиционным разделением на Data Warehouse и Data Lake для современного предприятия?
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