b.telligent Gruppe
Databricks Solution Architect(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
München
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
DADatabricks
Delivery Solutions Architect(m/w/x)
München, Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Designing secure, scalable data and AI architectures on the Databricks platform for diverse clients. Deep understanding of distributed data systems and programming in PySpark, SQL, or Scala required. Focus on customer-facing technical architecture and project delivery accountability.
Anforderungen
- Architectural skills in Data Architecture, Data Engineering, Data Warehousing, or Data Science
- Programming experience in PySpark, SQL, or Scala
- Understanding and hands-on experience of solution architecture-related distributed data and analytics systems
- Accountability for project delivery in Data, Analytics, or AI
- Experience in customer-facing pre-sales, technical architecture, customer success, or consulting roles
- Understanding of attributing business value and outcomes to project deliverables
- Technical program coordination including account and stakeholder management
- Experience resolving complex escalations with senior customer technical stakeholders
- Track record of overachievement against quota, Goals, or similar targets
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
- Ability to travel up to 30%
Aufgaben
- Design secure, scalable architecture
- Align people, processes, and technology
- Establish trusted advisor relationships
- Leverage Databricks ecosystem of experts
- Work with customer technical teams on use cases
- Address technical challenges and blockers
- Provide guidance and best practices
- Lead post-sales technical account strategy
- Execute technical account execution plans
- Serve as internal point of contact for production status
- Leverage Shared Services and Support resources
- Escalate tasks beyond your expertise
- Create and execute acceleration plans for use cases
- Coordinate with Professional Services on proposals
- Navigate Databricks Product and Engineering teams
- Present new product innovations to customers
- Report KPIs on customer health and use case progression
- Identify and communicate risks and blockers
- Monitor product adoption and use case progress
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- PySpark
- SQL
- Scala
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. 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.
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München, Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Designing secure, scalable data and AI architectures on the Databricks platform for diverse clients. Deep understanding of distributed data systems and programming in PySpark, SQL, or Scala required. Focus on customer-facing technical architecture and project delivery accountability.
Anforderungen
- Architectural skills in Data Architecture, Data Engineering, Data Warehousing, or Data Science
- Programming experience in PySpark, SQL, or Scala
- Understanding and hands-on experience of solution architecture-related distributed data and analytics systems
- Accountability for project delivery in Data, Analytics, or AI
- Experience in customer-facing pre-sales, technical architecture, customer success, or consulting roles
- Understanding of attributing business value and outcomes to project deliverables
- Technical program coordination including account and stakeholder management
- Experience resolving complex escalations with senior customer technical stakeholders
- Track record of overachievement against quota, Goals, or similar targets
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
- Ability to travel up to 30%
Aufgaben
- Design secure, scalable architecture
- Align people, processes, and technology
- Establish trusted advisor relationships
- Leverage Databricks ecosystem of experts
- Work with customer technical teams on use cases
- Address technical challenges and blockers
- Provide guidance and best practices
- Lead post-sales technical account strategy
- Execute technical account execution plans
- Serve as internal point of contact for production status
- Leverage Shared Services and Support resources
- Escalate tasks beyond your expertise
- Create and execute acceleration plans for use cases
- Coordinate with Professional Services on proposals
- Navigate Databricks Product and Engineering teams
- Present new product innovations to customers
- Report KPIs on customer health and use case progression
- Identify and communicate risks and blockers
- Monitor product adoption and use case progress
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- PySpark
- SQL
- Scala
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. 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.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Databricks
Branche
IT
Beschreibung
Databricks is the data and AI company that unifies and democratizes data, analytics, and AI for over 10,000 organizations worldwide.
Noch nicht perfekt?
- b.telligent Gruppe
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