Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Forward Deployed Engineer (Big Data): Delivering customer-facing data engineering, data science, cloud, and AI projects on the Databricks platform with an accent on end-to-end architecture, implementation, integration, and technical consulting. Focus on building production-grade MVPs, migrating and deploying big data applications, resolving operational issues, and managing complex customer engagements.
Location: Melbourne, Australia or Sydney, Australia. Travel to customers 20–30% of the time.
Company
Databricks provides a unified Data and AI Platform used to build and scale data, analytics, and AI applications.
What you will do
- Deliver short- to medium-term customer engagements focused on big data challenges using the Databricks platform.
- Build reference architectures, technical guides, production-grade MVPs, and greenfield projects.
- Design, build, and deploy big data and AI applications, including third-party migrations and integrations with client systems.
- Consult on architecture, bootstrap strategic projects, and support customer adoption of Databricks solutions.
- Provide escalated support for operational issues and collaborate with Engineering and Customer Support on product and implementation feedback.
- Coordinate with technical teams, project managers, architects, and customers to deliver project components within scope and timeline.
Requirements
- 8+ years of experience with big data technologies such as Apache Spark, Kafka, cloud-native technologies, and data lakes.
- Experience in customer-facing post-sales, technical architecture, or consulting roles.
- Ability to write code in Python or Scala.
- Experience managing technical project scope and timelines.
- Strong documentation, whiteboarding, client communication, and conflict-management skills.
- Ability to travel to customers 20–30% of the time.
Nice to have
- Databricks Certification.
Culture & Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
- Inclusive hiring practices and a diverse workplace.
- Databricks operates from offices around the globe and serves organizations worldwide.
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