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ULUltra Tendency

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

Magdeburg
Full-timeWith Home OfficeSenior
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.

Requirements

  • 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

Tasks

  • 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

Work Experience

  • 7 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent
  • GermanBusiness Fluent

Tools & Technologies

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

Benefits

Flexible Working

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

Learning & Development

  • Continuous learning and certification support

Informal Culture

  • Collaborative, entrepreneurial, and international culture

Startup Environment

  • Knowledge-driven, supportive community
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