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As a Data Architect in our AI & Data team, you will help senior people at our clients to make the right architectural choices and lead the design and implementation of innovative enterprise-wide solutions.
Position: Data Architect
Experience:
* 4+ years as a Data Architect with experience leading teams in designing and implementing complex cloud-based ecosystems.
* Engineering background with at least one full end-to-end data platform implementation as a Data Engineer (AWS, Azure, Google Cloud, Databricks, Snowflake).
* Skilled in evaluating and making data architecture decisions, influencing strategic direction, and engaging business and IT stakeholders.
* Experienced in guiding Data Engineers on best practices in coding quality (e.g., SonarQube, AI coding assistants).
* Proficient across structured (relational), semi-structured (NoSQL), and graph-based (knowledge graph) models.
* Nice to have: Experience packaging data platform solutions into Infrastructure as Code (Terraform).
Drive & Motivation:
* Ambition to progress toward a Senior Data Architect role in AI & Data consulting.
* Ability to stay current with technology and architectural trends.
* Comfortable managing multiple priorities in high-paced environments.
Leadership & Communication:
* Strong client-facing skills, able to build relationships with senior stakeholders and convert opportunities into projects.
* Strong abstract reasoning to connect enterprise, solution, and operational concepts.
* Excellent written and verbal communication for both technical and business audiences.
* Team leadership skills with experience estimating, planning, and coaching teams for optimal delivery.
Technical Expertise:
* Skilled in data modelling methods (conceptual, logical, physical), dimensional modelling, Data Vault, and schema design for analytical and operational workloads.
* Hands-on experience designing and implementing solutions on AWS, GCP, or Azure.
* Expertise in modern data platforms (Lakehouse, Medallion, Lambda, event-driven) in Snowflake and/or Databricks.
* Capable of designing architectures balancing performance, cost, and maintainability; creating architecture blueprints; and using GenAI to optimize delivery.
* Proficient in Data Integration & ETL (ERP, CRM, APIs, files). Nice to have: ETL/ELT tools like Informatica or DBT.
* Knowledge of metadata and event-driven architecture, MDM integration, and AI platform extension.
* Ability to review SQL, Python, and Spark code; familiar with big data file formats (Parquet, Iceberg).
Languages:
* Fluent English required; fluency in German and/or French preferred.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
Staffing and Recruiting
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