Dein persönlicher KI-Karriere-Agent
Building end-to-end data & AI solutions on the Databricks platform for 20,000+ organizations. Deep Apache Spark™ and cloud expertise required. On-site client integration, shaping strategic priorities.
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Anforderungen
- 6+ years data engineering, platforms, analytics, or software engineering
- Proficiency in Python, Scala, JavaScript/TypeScript, and modern frameworks
- Working knowledge of AWS, Azure, GCP; expertise in at least one
- Deep experience with Apache Spark™ and 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 end-to-end data architectures
- Experience with technical project delivery and translating concepts
- Documentation and white-boarding skills
- Experience with enterprise clients and stakeholder management
- Curiosity, adaptability, and eagerness to explore new technologies
- Databricks Certification
Aufgaben
- Build and productionize solutions to data & AI challenges using the Databricks platform
- Own the architecture and lead design decisions for end-to-end systems
- Implement end-to-end systems spanning data engineering, AI, and application development
- Shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations
- Deliver with customer empathy, integrating with client systems
- Provide training and other technical needs to help customers get the most value out of their data
- Lead impactful customer technical projects by delivering production-grade systems
- Design and build reference architectures, custom applications, and data ingestion and ML/AI model integration
- Guide strategic customers as they implement transformational big data projects
- Lead end-to-end design, build, and deployment of big data and AI applications
- Scope technical delivery work with input from the customer
- Guide customers on architecture and design
- Bootstrap or implement customer projects to ensure successful understanding, evaluation, and adoption of Databricks
- Ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices
- Work with the Databricks technical team, Project Manager, Architect, and Customer team to deliver technical components
- Provide product and implementation feedback to Engineering and Databricks Customer Support
- Guide rapid resolution for engagement-specific product and support issues
- Embed with customer teams to deeply understand challenges and deliver impact
- Engage with stakeholders from technical ICs to executives
- Contribute accelerators, frameworks, and best practices that scale impact across accounts
- Influence the Databricks product roadmap
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Nejo hat diesen Job automatisch von der Website des Unternehmens Databricks erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei DatabricksÜber das Unternehmen
Databricks is the data and AI company that unifies and democratizes data, analytics, and AI for over 10,000 organizations worldwide.
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