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Senior Data Architect (m/f/d)
Industries
Information Technology (IT)
Manufacturing
Areas
Business Intelligence
Information Technology (IT)
Project info
- Period01.02.2026 - 01.05.2026
- Daily rate900 - 1100€
- Language
- English(Advanced)
- English
- Remote100%
Description
We are currently looking for a senior data architect (m/f/d) with experience in international industrial data platform and cloud projects for one of our top customers.
Objectives
- Achieve high customer satisfaction through reliable delivery, clear communication, and measurable outcomes.
- Serve as the link among business, product, engineering, security, compliance, legal, and operations; facilitate informed trade-offs.
- Establish and evolve long-term architecture with a balance of security, privacy, performance, cost, resilience, and interoperability.
- Enable data-driven decision-making by optimizing data systems for structure, integration, and compliance. Responsibilities
- Design and implement data models for efficient storage, retrieval, and analysis at enterprise and application levels.
- Organize data at macro level (domains, canonical models, sharing policies) and micro level (logical/physical models); provide golden-source logical models and business rules for data quality.
- Identify and document requirements decisive for long-term architecture; develop and document technology, structure, and implementation decisions based on best practices.
- Verify day-to-day compliance with architectural decisions; establish quality assurance measures (design reviews, automated checks, guardrails).
- Monitor data quality and integrity; ensure compliance with GDPR and security standards; explain decisions and strategies; coach teams.
Key tasks and activities
- Architecture design and stewardship: own end-to-end architecture considering scalability, performance, reliability, and cost; shape and steer the data landscape beyond implementation.
- Data modeling: create conceptual, logical, and physical models; apply Data Vault 2.0, dimensional modeling (Kimball star schemas), and 3NF as appropriate.
- Technology selection: evaluate and select data technologies, ETL/ELT tools, and cloud services within the existing IT landscape; develop concepts and technology proposals.
- Governance and quality: define standards for data quality, metadata, lineage, and access; embed guardrails in data pipelines; ensure GDPR compliance.
- Stakeholder management: act as the technical link between data engineers, data scientists, and business stakeholders; evaluate and communicate architectures and trade-offs.
- Documentation: produce durable architecture documentation, including data flow diagrams, interface descriptions, domain maps, and decision logs.
Requirements
Required skills (technologies, methodologies, tech-stack etc.) including level of experience (e.g., number of years)
- 5+ years in data architecture or senior data engineering; degree in computer science, data management, or related field (or equivalent experience).
- Proven experience in database design, data modeling, and data integration; strong SQL; familiarity with NoSQL and data warehousing; cloud expertise (AWS, Azure, or Google Cloud).
- Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and modern data frameworks (Spark, Kafka, Hadoop); proficiency with modeling and diagramming tools (Enterprise Architect, ER / Studio, Visio / Lucidchart).
Hard skills:
- deep modeling competence
- relational and NoSQL databases
- ELT/ETL
- distributed computing
- programming (Python, SQL; Java as needed)
- security-by-design (privacy, access control, encryption, line-age, auditability).