Databricks2 days ago
Sr. Forward Deployed Engineer
RUB 15,167–20,851per month · before tax
MARKET
15,167 ₽median for this role
Cloud Engineer · 21 jobs with disclosed pay
5,233half of the offers: 6,800–15,16761,617
At market · above 76% of offers
Remote - Washington D.C.
Responsibilities
- 01Work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform
- 02Own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development
- 03Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
- 04Guide 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
- 05Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
- 06Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices
- 07Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact
- 08Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap
Requirements
- 016+ years experience in data engineering, data platforms & analytics, or software engineering
- 02Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
- 03Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
- 04Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
- 05Familiarity with CI/CD for production deployments
- 06Working knowledge of MLOps, ML/AI models and AI APIs
- 07Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces
- 08Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions
- 09Documentation and white-boarding skills
- 10Experience working with enterprise clients and managing conflicts across a broad stakeholder range
- 11Build 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
- 12Travel to customers 20% of the time
- 13Databricks Certification
What we offer
- 01Customer-facing role
- 02Travel to customers 20% of the time
- 03Comprehensive benefits and perks
- 04Inclusive hiring practices and equal employment opportunity standards