Principal Commercial Data Architect
7
7N Sp. z o. o.Data Architecture
Warszawa, zdalnie 100%, Warszawa, Country code: PLFull-TimeSenior
Salary7211 - 7572 CHF per month b2b currencySource=conversion; 8711 - 9147 USD per month b2b currencySource=conversion; 7654 - 8036 EUR per month b2b currencySource=conversion; 6580 - 6909 GBP per month b2b currencySource=conversion; 33600 - 35280 PLN per month b2b currencySource=original
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Job Details
- Languages
- Pl C1
- Experience
- 12+ years
- Required Skills
- AWSSQLSnowflakeData modelingdbt
Requirements
- 12+ years of experience in Data Architecture, Solution Architecture, or Enterprise Data Management.
- Advanced expertise in Conceptual, Logical, and Physical Data Modeling.
- Practical experience with Master Data Management (MDM) solutions.
- Experience working with cloud-based platforms such as Snowflake, AWS, or Azure Data Lake.
- Hands-on experience with Event-Driven Architecture (EDA) and messaging technologies like Kafka, AMQP, or MQTT.
- Experience designing and governing REST APIs and/or GraphQL APIs.
- Strong knowledge of SQL, DBT, and modern data engineering ecosystems.
- Understanding of AI-ready data architectures, metadata management, and data lineage.
- Knowledge of GDPR and data protection principles in regulated environments.
- Bachelor's or Master's degree in Computer Science, IT, Data Engineering, or a related field.
- Excellent communication and stakeholder management skills.
Responsibilities
- Design and continuously evolve a scalable and future-ready Commercial Service Backbone supporting multiple business applications and data products.
- Create and maintain Conceptual, Logical, and Domain Data Models, Taxonomies, Ontologies, and Data Standards across commercial domains.
- Define architecture for key commercial entities, including Customer Data, Master Data, Customer Interactions, Service Entitlements, and Commercial Contracts.
- Apply Domain-Driven Design (DDD) principles to establish scalable and clearly separated business domains.
- Design and govern event-driven integration patterns and API-based communication across commercial platforms and analytical environments.
- Establish semantic standards for enterprise analytics, business reporting, and AI-driven use cases.
- Ensure commercial data products are designed for reliable consumption by advanced analytics and AI solutions.
- Drive and maintain Architecture Decision Records (ADR) and contribute to architecture governance processes.
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