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Databricks Resident Solutions Architect (RSA)(m/w/x)
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
- English – Business Fluent
- German – Business 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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Databricks Resident Solutions Architect (RSA)(m/w/x)
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
- English – Business Fluent
- German – Business 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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Ultra Tendency
Industry
Consulting
Description
Ultra Tendency is an international premier Data Engineering consultancy for Big Data, Cloud, Streaming, IIoT and Microservices.
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