Data Architect (all genders)

Condor Technik GmbH; Neu-Isenburg; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

A major player in the aviation industry, Condor Technik GmbH is on the lookout for an experienced Data Architect to enhance their cloud-native data platform. The successful candidate will be responsible for architectural design, data modeling, and cross-functional enablement, working closely with data engineering and analytics teams. This role promises a dynamic work environment marked by friendly collaboration and ample opportunities for professional growth.

Leistungen

Attractive travel discounts

Training and development opportunities

Friendly and motivated team

Industry-standard compensation

Qualifikationen

• 7+ years in data architecture or engineering roles.
• Deep hands-on experience with Azure Data Services.
• Business-fluent English and a good command in German.

Aufgaben

• Develop and maintain cloud-native data architectures.
• Own enterprise data modeling ensuring models are performant.
• Partner with analytics teams to embed architectural patterns.

Kenntnisse

Data Modeling

Infrastructure Engineering

Cloud Services

Collaboration

Governance & Security

CI/CD Practices

Ausbildung

Degree in Computer Science or related field

Tools

SQL

Azure Data Services

Terraform

Airflow

dbt

Jobbeschreibung

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• Architecture Design: Develop and maintain scalable, cloud-native data architectures that support analytics, real-time workloads, and operational integrations across Condor’s data platform
• Infrastructure Engineering: Define and evolve foundational infrastructure patterns (e.g., modular data layers, CI/CD pipelines, observability, testing frameworks) in close partnership with data engineering
• Modelling & Semantics: Own enterprise data modeling—relational, dimensional, and semantic—ensuring models are reusable, performant and aligned with governance and business logic
• Standardization: Establish technical standards for lineage tracking, metadata, version control, and documentation to support transparency, reproducibility and team onboarding
• Tooling Strategy: Evaluate and recommend tools (e.g., dbt, Terraform, Airflow, Azure Synapse, Snowflake) that accelerate engineering productivity and platform scalability
• Cross-functional Enablement: Partner with engineers, analytics teams, and architects to embed architectural patterns into team workflows and drive a shared culture of technical excellence
• Scalability Planning: Proactively design for scale—across data volume, complexity, and user base—ensuring performance, reliability and extensibility as data demands grow
  
  

Your Future Tasks

• Architecture Design: Develop and maintain scalable, cloud-native data architectures that support analytics, real-time workloads, and operational integrations across Condor’s data platform
• Infrastructure Engineering: Define and evolve foundational infrastructure patterns (e.g., modular data layers, CI/CD pipelines, observability, testing frameworks) in close partnership with data engineering
• Modelling & Semantics: Own enterprise data modeling—relational, dimensional, and semantic—ensuring models are reusable, performant and aligned with governance and business logic
• Standardization: Establish technical standards for lineage tracking, metadata, version control, and documentation to support transparency, reproducibility and team onboarding
• Tooling Strategy: Evaluate and recommend tools (e.g., dbt, Terraform, Airflow, Azure Synapse, Snowflake) that accelerate engineering productivity and platform scalability
• Cross-functional Enablement: Partner with engineers, analytics teams, and architects to embed architectural patterns into team workflows and drive a shared culture of technical excellence
• Scalability Planning: Proactively design for scale—across data volume, complexity, and user base—ensuring performance, reliability and extensibility as data demands grow
  
  

Your Profile With a Passion For Aviation

• Experience: 7+ years in data architecture or engineering roles, with demonstrated success in designing scalable cloud-native data platforms in Azure, AWS, or GCP
• Cloud Infrastructure: Deep hands-on experience with Azure Data Services (e.g., Data Factory, Synapse, ADLS), Terraform or similar IaC tools and orchestration frameworks (e.g., Airflow)
• Modelling Expertise: Mastery of data modeling techniques—normalized, star/snowflake schemas, semantic layers—and their application to analytics and operational needs
• CI/CD for Data: Strong understanding of engineering workflows—Git-based version control, CI/CD for pipelines, testing strategies, and data release automation
• Tool Proficiency: Proficient with SQL and tools like dbt, Power BI, or LookML; able to design systems that bridge backend performance with front-end usability
• Governance & Security: Solid grasp of governance frameworks (data access, lineage, PII management), especially in regulated or complex data environments
• Collaboration & Influence: Skilled at working across teams to align architecture decisions with delivery realities—able to influence both engineering teams and executive stakeholders
• Languages: Business-fluent english skills and a good command in german both written and spoken
  
  

This is what you can look forward to as part of the Condor family:

• Atmosphere - through a friendly and motivated team and flat hierarchies
• Excitement - through an interesting and varied job in a fascinating industry
• Further development - through competent induction as well as training and development opportunities
• Benefits - through attractive travel discounts and social benefits in addition to industry-standard compensation

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Airlines and Aviation

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