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ULUltra Tendency

Databricks Resident Solutions Architect (RSA)(m/w/x)

Magdeburg
Vollzeitmit HomeofficeSenior
AI/ML
Data Science

Technical advisor for strategic Databricks customers, designing scalable data, analytics, and AI architectures. 7+ years in data engineering or cloud architecture required. Remote-friendly, continuous learning support.

Anforderungen

  • 7+ years of experience in data engineering, cloud architecture, analytics, or related fields
  • 3+ years working with Databricks in enterprise environments
  • Strong expertise in modern data platform architecture and cloud-native solutions
  • Hands-on experience designing and implementing Lakehouse architectures
  • Databricks Data Intelligence Platform knowledge
  • Apache Spark knowledge
  • Delta Lake knowledge
  • Unity Catalog knowledge
  • Data Governance & Security knowledge
  • Data Warehousing and Lakehouse Design knowledge
  • ETL/ELT Architectures knowledge
  • Data Modeling knowledge
  • Microsoft Azure experience (preferred)
  • AWS experience
  • Google Cloud Platform experience
  • Python proficiency
  • SQL proficiency
  • Spark proficiency
  • Experience engaging with executive stakeholders and technical leadership teams
  • Excellent communication and presentation skills in English and German
  • Databricks Certified Data Engineer Professional certification
  • Generative AI and LLM solutions experience
  • MLflow experience
  • MLops experience
  • Data Governance frameworks experience
  • Real-time and streaming data platforms experience
  • Experience in consulting or professional services environments
  • Must currently reside in Germany and possess legal right to work

Aufgaben

  • Act as primary technical advisor for strategic Databricks customers
  • Design and review scalable data, analytics, and AI architectures
  • Lead architecture workshops and solution design sessions
  • Translate business requirements into technical solutions
  • Advise on platform modernization, cloud migration, data governance, and AI initiatives
  • Support successful implementation and adoption of Databricks solutions
  • Review data engineering, analytics, machine learning, and GenAI workloads
  • Identify and resolve technical blockers during customer engagements
  • Drive best practices for data pipelines, Lakehouse design, and platform operations
  • Serve as subject matter expert on Databricks capabilities and emerging technologies
  • Mentor customer teams and consultants on architecture patterns
  • Deliver executive presentations and technical workshops
  • Contribute to reusable assets and reference architectures
  • Partner with sales and account teams during customer engagements
  • Support technical discovery and solution positioning
  • Provide architecture guidance during pre-sales and proof-of-concept activities
  • Identify opportunities for platform expansion and increased customer value

Berufserfahrung

  • 7 Jahre

Ausbildung

  • Bachelor-AbschlussODER
  • Master-Abschluss

Sprachen

  • Englischverhandlungssicher
  • Deutschverhandlungssicher

Tools & Technologien

  • Databricks Data Intelligence Platform
  • Apache Spark
  • Delta Lake
  • Unity Catalog
  • Python
  • SQL
  • Microsoft Azure
  • AWS
  • Google Cloud Platform
  • MLflow

Benefits

Flexibles Arbeiten

  • Flexible and remote-friendly working environment
  • Healthy work-life balance

Weiterbildungsangebote

  • Continuous learning and certification support

Lockere Unternehmenskultur

  • Collaborative, entrepreneurial, and international culture

Startup-Atmosphäre

  • Knowledge-driven, supportive community
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Ultra Tendency 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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