Senior Data Architect
Role details
Job location
Tech stack
Job description
In this role, you will work closely with the Lead Architect, the data and AI engineering team, the system integration team, and business stakeholders to build scalable data and integrations architecture to support our business teams.
You will play a key role in connecting business systems, enabling reliable analytics, accelerating data product development, and preparing the platform for AI/ML use cases.
This is a strategic and hands-on architecture role for someone who enjoys technical design, trade-off analysis, system integration, and pragmatic solution delivery., Architecture & Platform Design
- Design and evolve our modern data platform using technologies such as Snowflake, dbt, Python, Airflow, AWS, Fivetran, and Prometheus.
- Define end-to-end data architectures covering ingestion, integration, transformation, modelling, serving, and observability.
- Design scalable data solutions that connect multiple business systems across the software sales and management chain.
- Produce clear architecture documentation and diagrams to support decision-making and implementation.
- Conduct technical spikes and proof-of-concepts to evaluate tools, patterns, and architectural approaches.
- Contribute to data modelling, governance, security, and platform design standards.
Solution Delivery & Engineering Collaboration
- Translate business requirements into scalable, secure, and maintainable data solutions.
- Design end-to-end implementation of data solutions from discovery to production.
- Work closely with data engineers, AI engineers, and system developers to ensure architecture is practical and implementable.
- Promote pragmatic engineering practices, including code quality, version control, CI/CD, testing, and maintainability.
- Evaluate trade-offs across cost, performance, scalability, security, operational complexity, and delivery speed.
Data Strategy & AI Enablement
- Support modern data architecture patterns such as Data Mesh, data products, Lakehouse architecture, and event-driven architecture.
- Ensure the platform can support analytics, feature engineering, model training, GenAI use cases, and AI-enabled business decision-making.
- Stay up to date with trends in modern data platforms, cloud architecture, and AI-enabled ecosystems.
Requirements
Do you have experience in Technical documentation?, * 6+ years of experience in Data Engineering, Data Architecture, or related roles.
- Strong hands-on experience with:
- Snowflake
- dbt
- Python
- AWS services such as S3, Lambda, IAM, Glue, etc.
- Fivetran or similar ingestion/integration tools
- Strong understanding of ETL/ELT design patterns and modern cloud data warehouse architectures.
- Experience designing scalable, secure, and maintainable cloud data platforms.
- Experience with data modelling, data integration, and serving data for BI/AI, analytics, or data products.
- Ability to create high-quality architecture diagrams and technical documentation.
- Strong analytical thinking, structured problem-solving, and communication skills.
- Ability to explain complex technical concepts to both technical and non-technical stakeholders., * Experience with Data Mesh, data products, Lakehouse architecture, or event-driven architecture.
- Hands-on experience with other data platforms such as Databricks, BigQuery, Redshift, or Microsoft Fabric.
- Experience with C4 Model, TOGAF principles, or architecture governance frameworks.
- Exposure to ML/AI data pipelines, feature engineering, model lifecycle, or GenAI-enabled data products.
- Experience leading end-to-end implementation of data solutions.
- Good understanding of software engineering and DevOps best practices.
Benefits & conditions
Pulled from the full job description
- Flexible schedule, We offer benefits that support your health, growth, and lifestyle, so you can thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work, career development, competitive pay, and global culture perks.
Equal Opportunity Employer
We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.
French Version Bien plus qu'un emploi, une opportunité de construire, d'évoluer et d'avoir un réel impact ! Nous recherchons un(e) Architecte Data Senior pour rejoindre notre équipe Data Architecture et contribuer à la conception, à l'évolution et à la mise en œuvre de notre plateforme de données moderne. Dans ce rôle, vous travaillerez en étroite collaboration avec le/la Lead Architect, les équipes Data & AI Engineering, les équipes d'intégration des systèmes ainsi que les parties prenantes métiers afin de concevoir des architectures de données et d'intégration évolutives au service des besoins de l'entreprise. Vous jouerez un rôle clé dans l'interconnexion des systèmes métiers, la mise à disposition de données fiables pour l'analyse, l'accélération du développement de produits de données et la préparation de la plateforme aux cas d'usage liés à l'intelligence artificielle et au machine learning. Ce poste combine vision stratégique et expertise opérationnelle. Il s'adresse à une personne appréciant la conception technique, l'analyse des compromis architecturaux, l'intégration de systèmes et la mise en œuvre pragmatique de solutions.