Principal Commercial Data Architect

Quick Facts

• 100% remote
• Salary up to 200 zł net/h (B2B)

Description

Lead and continuously evolve a scalable, modern commercial data architecture serving multiple downstream applications (CRM, Service Desks, Marketing Automation, Order-to-Cash, and Commercial Ops). Define and govern enterprise conceptual/logical data models, taxonomies, and ontologies using Domain-Driven Design; design real-time and event-driven streaming patterns and API contracts for synchronization; and establish semantic authority for AI-driven commercial analytics.

Responsibilities

• Architect and evolve a future-ready commercial data foundation for multiple downstream applications.
• Create and maintain enterprise Conceptual & Logical Data Models, Taxonomies, and Ontologies for key commercial entities (HCP/HCO Master Data, Customer Interactions, Service Entitlements, Commercial Contracts), applying DDD to establish bounded contexts across commercial sub-domains.
• Design real-time and event-driven data streaming patterns and API contracts to synchronize data between service platforms, transactional systems, and analytical data lakes/warehouses.
• Apply Event-Driven Architecture (EDA) principles to ensure consistency and scalability while preserving system and team independence.
• Own semantic authority for the commercial data domain as authoritative input to the enterprise semantic layer.
• Shape standards and validation gates for data products to be semantically complete enough for conversational/agentic consumption by AI systems.
• Ensure semantic authority and lineage survive replication, cloning, and aggregation.
• Ensure AI-facing consumption complies with enterprise controls for provenance, data protection, retention, and auditability; enforce semantic and access scope.
• Own and scale ADR governance across the commercial data domain; contribute to Governance Decision Records (GDRs) for metadata and semantic standards.
• Ensure alignment with enterprise reference architectures, data security guidelines, and healthcare compliance (GxP, GDPR).
• Proactively identify opportunities to consolidate legacy data silos, reduce technical debt, and modernize toward vendor-agnostic, future-proof data patterns.
• Collaborate with Product Owners, Enterprise Architects, Data Engineers, and Commercial Business Leaders to deliver high-performing data products.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or related quantitative field.
• 12+ years of hands-on experience in enterprise data architecture, data modeling, or solution architecture (preferably commercial, CRM, or customer service domains).
• Proven track record designing data backbones/unified data layers supporting multi-application ecosystems (e.g., Salesforce, Veeva, SAP, ServiceNow).
• Expert proficiency in conceptual, logical, and physical data modeling (relational, dimensional, document, graph models).
• In-depth understanding of commercial value streams across Marketing, Sales, Customer Support/Service, and Commercial Operations.
• Experience with Master Data Management (HCP/HCO/Account structures) is highly preferred.
• Experience with cloud data platforms (e.g., Snowflake, AWS, Azure Data Lake).
• Experience with API/event-driven architectures (Kafka, AMQP/MQTT, REST/GraphQL) and modern data tooling (DBT, SQL).
• Proven ability to establish semantic content for AI/agentic reasoning: entity/metric definitions, calculation logic, explicit scope of valid interpretation.
• Experience defining completeness criteria for data products suitable for conversational consumption.
• Ability to articulate complex architectural concepts to non-technical stakeholders and negotiate shared technical roadmaps.

Benefits

• 100% remote
• Salary up to 200 zł net/h (B2B)