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Forward Deployed Engineer (Python, TypeScript)
As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-…
databricks · На сервисе с: 21.09.26 20:24
Зарплата не указанаНидерландыОфис
CSQ327R45
As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.
This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.
The Impact You Will Have
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.
Benefits
At 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 click here.
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.
As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.
This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.
The Impact You Will Have
- Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
- Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
- Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
- Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
- 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.
- Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
- Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.
- Extensive experience in data engineering, data platforms & analytics, or software engineering
- 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, ML/AI models and AI APIs
- Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
- Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
- Documentation and white-boarding skills.
- Experience working with enterprise clients and managing conflicts across a broad stakeholder range
- Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
- Travel to customers 20% of the time
- Databricks Certification
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.
Benefits
At 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 click here.
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.
Похожие вакансии Data Engineer
hh.ru
Зарплата не указанаРоссияМоскваГибрид
Проект реализация DWH и BI в области противодействия мошенническим операциям.
Цель проекта: обеспечение целевых подразделений антифрода инструментами аналитики и подготовки принятия решений для задач предотвращения мошенничества.
ЧТО ВАС ЖДЕТ:
- Высокая автономность: вы будете исследовать и развивать сквозной процесс от множественных источников данных до форм представлений непосредственным пользователям.
- Разнообразие данных: для задач домена используются данные практически всех направлений внутри банка и много внешних специфичных данных.
- Передовой технологический стек и нетривиальные задачи: Графовая аналитика и Graf RAG; Feature Store с возможностью его переиспользования для in-line задач, интеграции результатов AI в бизнес аналитику и так далее.
- Влияние и бизнес-импакт: у нас высокий спрос на качественные данные как в аналитических задачах, так и в области машинного обучения.
СТЕК:
- Greenplum (GPDB)
- Data Vault 2.0
- Data Warehouse
- Data Architecture
- PowerDesigner
- SQL
- Data Modeling
- Banking Data Model
- General Ledger
- Data Governance
- MPP Database
- ETL Architecture
ЧЕМ ПРЕДСТОИТ ЗАНИМАТЬСЯ:
- Принимать участие в проработке архитектуры ETL и интеграций аналитического хранилища данных (DWH);
- Проектировать и обеспечивать реализацию потоков ETL в соответствии с выбранной методологией;
- Управлять физической моделью данных корпоративного хранилища;
- Формировать стандарты в области данных и контролировать их соблюдение, обеспечивать историзацию и правила качества данных;
- Взаимодействовать с владельцами данных, бизнес и системными аналитиками;
- Оптимизировать архитектуру хранилища и обеспечивать ее масштабируемость;
- Готовить и согласовывать обязательную документацию.
НАШИ ОЖИДАНИЯ ОТ КАНДИДАТА:
- Опыт работы главным/ведущим инженером ETL/ELT от 3 лет;
- Глубокое понимание архитектуры корпоративных хранилищ данных;
- Практический опыт проектирования хранилищ с использованием Greenplum (GPDB), Postgres, Hadoop;
- Понимание архитектуры Greenplum: распределение, партиционирование, планы выполнения, оптимизация хранения и обработки больших объемов данных;
- Результативный опыт анализа проектных решений, моделей, ETL/ELT-процессов, BI-витрин и технической документации;
- Практический опыт работы с отечественными BI решениями;
- Отличное знание SQL и принципов оптимизации запросов в MPP-системах;
- Экспертиза и применение архитектурных паттернов загрузки, инкрементальности, CDC, дедупликации, историчности, отслеживаемости и разграничения доступа;
- Опыт в проектировании и применение Spark, Impala, Trino, Airflow, Java/Python в промышленном ландшафте данных;
- Понимание принципов CI/CD, работа с системами контроля версий;
- Уверенное владение инструментами проектирования:
- разработка физических моделей;
- управление репозиторием моделей;
- поддержка корпоративных стандартов моделирования.
БУДЕТ ПЛЮСОМ:
- Опыт работы с данными в антифрод-подразделении банка или фин. организации;
- Опыт проектирования CDM/LDM/PDM в крупных банках;
- Опыт построения Data Lake / Lakehouse совместно с DWH;
- Знание подходов Data Governance и Data Quality;
- Понимание принципов MDM;
- Опыт работы с StarRocks;
- Опыт работы с PXF;
- Знание Agile-подходов к разработке;
- Экспертиза в банковской предметной области. Вы должны хорошо ориентироваться в банковских данных и понимать структуру основных предметных областей.
ЧТО МЫ ПРЕДЛАГАЕМ:
- Обучение за счет компании (посещение конференций, курсов, помощь в написании статей на Хабр и т.д.);
- Вертикальное и горизонтальное развитие: регулярные тренинги, вебинары, митапы;
- Забота о вашем здоровье: ДМС с первого месяца работы, куда входит стоматология;
- Прозрачный доход: оклад (по итогам интервью) + ежеквартальные премии по результатам KPI;
- Гибридный формат работы (2 дня офис, 3 дня удаленно) в Сколково;
- Дополнительные бонусы от Россельхозбанка для сотрудников группы компаний (Скидки на спортзалы, рестораны, маркетплейсы и т.д.).
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