Ultra Tendency

Role Description Gestalte die nächste Generation von Data- & AI-Plattformen. Unsere Engineering Community wächst weiter – und wir suchen einen Senior Data Architect (m/f/*) mit Schwerpunkt Databricks, der moderne Data- und AI-Plattformen für führende Unternehmen in Deutschland gestaltet. In dieser Rolle verantwortest du die Architektur skalierbarer Datenplattformen auf Basis der Databricks Lakehouse Platform. Du arbeitest an anspruchsvollen Cloud-, Data- und AI-Initiativen, berätst Kunden auf strategischer Ebene und begleitest Teams von der Architekturvision bis zur produktiven Umsetzung. Du wirst nicht nur technische Lösungen entwerfen, sondern als Trusted Advisor auftreten, Architekturstandards definieren und die Weiterentwicklung unserer Data Community aktiv mitgestalten. Qualifications - Mehrjährige Erfahrung in Data Engineering, Data Architecture oder verwandten Bereichen - Nachweisbare Erfahrung mit Databricks in produktiven Enterprise-Umgebungen - Fundierte Kenntnisse von Databricks Lakehouse, Delta Lake, Unity Catalog und Apache Spark - Erfahrung mit mindestens einer führenden Cloud-Plattform (Azure, AWS oder GCP) - Erfahrung mit Datenmodellierung, Data Governance und Security-Konzepten - Sehr gute Kommunikationsfähigkeiten sowie fließende Deutsch- und Englischkenntnisse Requirements - Erfahrung mit Medallion Architecture, Data Mesh oder modernen Data Platform Strategien - Databricks- oder Cloud-Zertifizierungen - Kenntnisse in Terraform, Airflow oder Databricks Workflows - Erfahrung mit AI-, ML- oder GenAI-Plattformen - Erfahrung in der technischen Führung größerer Programme oder Teams Benefits - Arbeite an Projekten mit echtem Impact - Gestalte moderne Data- und AI-Plattformen für führende Unternehmen - Arbeite an komplexen Transformationsprogrammen mit strategischer Bedeutung - Lerne von internationalen Expert*innen - Zusammenarbeit mit Kolleg*innen in Europa sowie Nord- und Südamerika - Zugang zu einer starken globalen Engineering Community - Entwickle deine Karriere weiter - Individueller Entwicklungsplan und klarer Karrierepfad - Zeit und Budget für Zertifizierungen und Weiterbildung - Zugang zu Udemy Business und weiteren Lernplattformen - Flexibilität, die zu deinem Leben passt - Remote-first mit hybriden Arbeitsmöglichkeiten - Bewerber*innen müssen in Deutschland ansässig sein Technology Stack - Databricks - Delta Lake - Unity Catalog - Apache Spark - Python - SQL - Terraform - Databricks Workflows - Airflow - Azure - AWS - GCP Success After 12 Months - Du hast Architekturstandards für mehrere Kundenumgebungen definiert - Du hast mindestens eine strategische Databricks-Plattform erfolgreich mitgestaltet - Du bist ein geschätzter Sparringspartner für Kunden und interne Teams - Du hast aktiv zum Wachstum unserer Data Community beigetragen Company Description Ultra Tendency is an international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. Since 2010, we have helped leading organizations—including the European Central Bank, Deutsche Telekom, and Europe’s largest automotive manufacturer—build and operate large-scale, data-driven platforms. With 8 offices across 10 countries and a growing global team, we combine deep technical expertise with a strong commitment to open source. Our consultants actively contribute to projects such as Apache Kafka, Apache NiFi, Terraform, and Ansible, and we are a trusted Databricks partner. At Ultra Tendency, you'll work on challenging projects that push the boundaries of Data and AI while collaborating with talented colleagues in a culture built on learning, knowledge sharing, and mutual support.

Role Description As a Databricks Resident Solutions Architect, you will serve as a trusted technical advisor and strategic partner to enterprise customers. You will guide organizations through their data and AI transformation journeys, helping them design, implement, and optimize modern data platforms built on Databricks. You will combine deep technical expertise with strong stakeholder management skills to ensure customers realize measurable value from their Databricks investments. Working alongside client teams, executives, engineers, and Ultra Tendency consultants, you will lead architecture decisions, promote best practices, and drive successful adoption of the Databricks Lakehouse Platform. This is a highly customer-facing role requiring both hands-on technical capability and executive-level communication skills. Key Responsibilities - Customer Advisory & Architecture - Act as the primary technical advisor for strategic Databricks customers. - Design and review scalable data, analytics, and AI architectures leveraging the Databricks Lakehouse Platform. - Lead architecture workshops, solution design sessions, and technical roadmap discussions. - Translate business requirements into technical solutions and implementation plans. - Advise customers on platform modernization, cloud migration, data governance, and AI initiatives. - Solution Delivery & Optimization - Support the successful implementation and adoption of Databricks solutions. - Review data engineering, analytics, machine learning, and GenAI workloads for scalability, performance, security, and cost optimization. - Identify and resolve technical blockers during customer engagements. - Drive architectural best practices for data pipelines, Lakehouse design, Unity Catalog, governance, and platform operations. - Technical Leadership - Serve as a subject matter expert on Databricks capabilities and emerging data & AI technologies. - Mentor customer teams and Ultra Tendency consultants on architecture patterns and best practices. - Deliver executive presentations, technical workshops, and enablement sessions. - Contribute to reusable assets, reference architectures, and practice development initiatives. - Business Development Support - Partner with sales and account teams during strategic customer engagements. - Support technical discovery, solution positioning, and proposal development. - Provide architecture guidance during pre-sales and proof-of-concept activities. - Identify opportunities for platform expansion and increased customer value. Qualifications - 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. - Strong knowledge of: - Databricks Data Intelligence Platform - Apache Spark - Delta Lake - Unity Catalog - Data Governance & Security - Data Warehousing and Lakehouse Design - ETL/ELT Architectures - Data Modeling - Experience with at least one major cloud platform: - Microsoft Azure (preferred) - AWS - Google Cloud Platform - Proficiency in: - Python - SQL - Spark - Experience engaging with executive stakeholders and technical leadership teams. - Excellent communication and presentation skills in English & German. Preferred Qualifications - Databricks certifications such as: - Databricks Certified Data Engineer Professional - Databricks Certified Solutions Architect - Databricks Certified Machine Learning Professional - Experience with: - Generative AI and LLM solutions - MLflow - MLOps - Data Governance frameworks - Data Mesh architectures - Real-time and streaming data platforms - Experience in consulting or professional services environments. - Additional language skills in Spanish, or Portuguese are highly desirable. What Success Looks Like - Customers successfully adopt and scale Databricks solutions. - Complex technical challenges are resolved quickly and effectively. - Executive stakeholders view you as a trusted advisor. - Best practices are consistently applied across customer environments. - Customer satisfaction, platform utilization, and business outcomes improve measurably. Benefits - Work with leading enterprise customers across Europe. - Be part of a rapidly growing Data & AI consultancy. - Access to cutting-edge technologies in Data Engineering, Analytics, AI, and GenAI. - Opportunity to shape and expand Ultra Tendency's Databricks practice. - Continuous learning and certification support. - Flexible and remote-friendly working environment. - Competitive compensation package. - Collaborative, entrepreneurial, and international culture. Eligibility - Applicants must currently reside in Germany and possess the legal right to work in the country. - Unfortunately, we are unable to provide relocation assistance or visa sponsorship for this position.

Role Description As a Senior Data Engineer – Databricks, you will work closely with data engineers, data scientists, architects, and business stakeholders to design and implement robust data solutions using modern cloud and data technologies. - Design, implement, and maintain scalable data pipelines on the Databricks Lakehouse Platform using technologies such as Apache Spark and Delta Lake. - Develop and optimize batch and streaming data workflows that support analytics, machine learning, and business intelligence use cases. - Collaborate with cross-functional teams to translate business and data requirements into reliable, production-ready solutions. - Improve the performance, scalability, and cost efficiency of data processing workloads within Databricks environments. - Support the implementation of best practices for data quality, governance, security, and compliance. - Contribute to architectural discussions and help shape modern data platform strategies for clients. - Mentor and support junior engineers while fostering knowledge sharing across the team. Qualifications - Strong hands-on experience with Databricks and Apache Spark (PySpark, SQL, and/or Scala). - Experience building and operating cloud-based data platforms on AWS, Azure, or GCP. - Solid understanding of distributed data processing, data modeling, data warehousing, and performance optimization. - Experience with CI/CD practices and version control systems such as Git. - Familiarity with orchestration frameworks such as Airflow, Azure Data Factory, or Databricks Workflows. - Experience working in agile and cross-functional environments. - Strong communication skills in English & German. - A collaborative mindset and passion for building reliable, scalable, and maintainable data solutions. Benefits - Work with leading enterprise customers across Europe. - Be part of a rapidly growing Data & AI consultancy. - Access to cutting-edge technologies in Data Engineering, Analytics, AI, and GenAI. - Opportunity to shape and expand Ultra Tendency's Databricks practice. - Continuous learning and certification support. - Flexible and remote-friendly working environment. - Competitive compensation package. - Collaborative, entrepreneurial, and international culture. Eligibility - Applicants must currently reside in Germany and possess the legal right to work in the country. - Unfortunately, we are unable to provide relocation assistance or visa sponsorship for this position. Company Description Ultra Tendency is an international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. Since 2010, we have helped leading organizations—including the European Central Bank, Deutsche Telekom, and Europe’s largest automotive manufacturer—build and operate large-scale, data-driven platforms. With 8 offices across 10 countries and a growing global team, we combine deep technical expertise with a strong commitment to open source. Our consultants actively contribute to projects such as Apache Kafka, Apache NiFi, Terraform, and Ansible, and we are a trusted Databricks partner. At Ultra Tendency, you'll work on challenging projects that push the boundaries of Data and AI while collaborating with talented colleagues in a culture built on learning, knowledge sharing, and mutual support.