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A client-side data architecture role focuses on designing scalable Azure-based cloud data platforms using Databricks, with emphasis on Lakehouse architectures and robust ETL/ELT pipelines. You will lead engineering projects, guide juniors, and support pre-sales discussions and workshops across Germany in a fully remote setup.
Fokus liegt auf Python/SQL/PySpark, Delta Lake, MLflow und Data-Governance, Sicherheit und Kostenoptimierung.
On behalf of our client – a rapidly growing, international consulting firm specializing in modern cloud and data platforms – we are seeking a Data Solution Architect (m/f/d) with a strong focus on Azure and Databricks. This position offers a 100% remote work model throughout Germany with a direct, permanent employment contract with our client. You can work from anywhere in Germany – a residence in a city like Munich is not required. Architecture & Solution Design: Conceptualization and architecture of scalable cloud data platforms based on Azure and Databricks (Lakehouse architecture). Pipeline & Ecosystem Engineering: Implementation of high-performance ETL/ELT data pipelines using Python, SQL, and PySpark, leveraging Delta Lake, Unity Catalog, and Databricks workflows. MLOps & AI Integration: Development and integration of end-to-end processes for machine learning and MLOps structures using MLflow. Technical Leadership: Technical management of data engineering projects, professional guidance and mentoring of junior and mid-level data engineers. Customer Consulting & Pre-Sales: Advising customer stakeholders on solution finding, conducting technical workshops, and supporting proposal presentations. Governance & Performance: Ensuring data governance, security and quality standards, and continuous optimization of cloud costs.
Erfahrung: Fundierte Praxis in der Konzeption und dem Aufbau von Enterprise-Cloud-Datenplattformen im Azure-Umfeld.
Technische Exzellenz: Sehr gute Hands-on-Kenntnisse in Python, SQL, PySpark, Databricks, Delta Lake und MLOps-Tools (MLflow).
Software-Engineering-Standards: Vertrautheit mit CI/CD, Git, Infrastruktur-Automatisierung und Performance-Optimierung.
Beratungs- & Führungskompetenz: Erfahrung oder starkes Interesse an Pre-Sales, technischer Projektkoordination und Mentoring (Interesse an disziplinarischer Führung ist ein Plus).
Branchen-Plus: Erfahrung im Banken- oder Versicherungsumfeld von Vorteil.
Sprachen: Verhandlungssichere Englischkenntnisse in Wort und Schrift (Deutschkenntnisse sind ein Plus).