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Data Architect (all genders)

GuideCom GmbH

Neu-Isenburg

Vor Ort

EUR 70.000 - 90.000

Vollzeit

Vor 8 Tagen

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Zusammenfassung

Join a leading company in the aviation industry as a Data Architect. You'll design and maintain robust cloud-native data architectures and collaborate with cross-functional teams to drive technical excellence. This dynamic role requires extensive experience in Azure and cloud infrastructures, ensuring alignment with governance frameworks. Enjoy attractive benefits and opportunities for personal development.

Leistungen

Attractive travel discounts
Training and development opportunities
Friendly and motivated team atmosphere
Flat hierarchies
Industry-standard compensation

Qualifikationen

  • 7+ years in data architecture or engineering roles required.
  • Deep hands-on experience with Azure, AWS, or GCP necessary.
  • Business-fluent English and good command of German are essential.

Aufgaben

  • Develop and maintain scalable, cloud-native data architectures.
  • Define infrastructure patterns in partnership with data engineering.
  • Establish technical standards for lineage tracking and documentation.

Kenntnisse

Data Architecture
Cloud Services
Data Modeling
Collaboration
Governance

Tools

Terraform
Airflow
Azure Data Services
SQL
dbt
Power BI

Jobbeschreibung

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
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