New

Principal Commercial Data Architect (pharma, remote 100%)

32k - 33.6k PLN32 000 - 33 600 PLN/ mies./ mies.B2BB2B (netto)

200 - 210 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnieFull-time·B2B

#475258·Dodano wczoraj·0

Źródło: 7N

Aplikuj teraz

Tech Stack / Keywords

Domain-Driven Design (DDD)Event-Driven Architecture (EDA)Kafka REST GraphQL Snowflake AWSAzure Data LakeDBTSQL

Podsumowanie oferty

Shape the Commercial Service Backbone, the data foundation for global commercial capabilities across Sales, Marketing, Customer Service, and Commercial Operations. Define scalable data models, semantic standards, ontologies, and integration patterns for trusted customer and product data, advanced analytics, and AI-driven solutions.

Wymagania

10+ years of hands-on experience in enterprise data architecture, data modeling, or solution architecture, ideally in commercial, CRM, customer service, or similarly complex enterprise environments.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or another relevant quantitative discipline.
Expert knowledge of conceptual, logical, and physical data modeling, including relational, dimensional, document, and graph models.
Proven experience designing enterprise data backbones or unified data layers for multi-application ecosystems.
Strong knowledge of Domain-Driven Design (DDD), bounded contexts, enterprise data domains, and architecture governance.
Hands-on understanding of API and event-driven architectures, including Kafka, AMQP/MQTT, REST, and GraphQL.
Experience with modern cloud data platforms and tooling such as Snowflake, AWS, Azure Data Lake, DBT, and SQL.
Experience integrating enterprise platforms such as Salesforce, Veeva, SAP, or ServiceNow.
Strong understanding of commercial value streams across Marketing, Sales, Customer Service/Support, and Commercial Operations.
Proven ability to establish semantic foundations for AI and advanced analytics, including entity and metric definitions, calculation logic, semantic boundaries, and completeness criteria.
Understanding of how ambiguous or incomplete data definitions can affect conversational and agentic AI systems, and ability to design controls to prevent semantically incorrect outputs.
Experience with Architecture Decision Records (ADRs) and architecture governance.
Understanding of enterprise requirements for data provenance, lineage, security, privacy, retention, and auditability.
Knowledge of regulated environments and standards such as GDPR and GxP.
Excellent communication and stakeholder management skills, including explaining complex architectural decisions to technical and non-technical audiences.
Ability to influence senior stakeholders and build shared technical roadmaps across teams and business domains.

Nice to have:

Experience with Master Data Management, particularly HCP/HCO and Account structures.
Familiarity with fitness functions and metadata governance.

Obowiązki

Drive the target data architecture for a scalable commercial data foundation supporting applications including CRM, Service Desk, Marketing Automation, Order-to-Cash, and Commercial Operations.
Design and maintain enterprise conceptual and logical data models, taxonomies, and ontologies for HCP/HCO master data, customer interactions, service entitlements, and commercial contracts.
Apply Domain-Driven Design (DDD) principles to establish bounded contexts across commercial sub-domains.
Design real-time and event-driven integration patterns and API contracts connecting service platforms, transactional systems, and analytical data lakes and warehouses.
Apply Event-Driven Architecture (EDA) principles for scalable data synchronization while maintaining system and team independence.
Establish semantic authority for AI-driven commercial analytics, including entity and metric definitions, calculation logic, business meaning, and permitted interpretation scope.
Define semantic completeness criteria and validation principles for commercial data products intended for conversational and agentic AI.
Ensure semantic definitions and data lineage remain reliable across replication, aggregation, and downstream consumption.
Align commercial data consumption with enterprise AI guardrails, including provenance, data protection, retention, access control, and auditability.
Own and scale Architecture Decision Record (ADR) governance across the commercial data domain and contribute to Governance Decision Records (GDRs) covering metadata and semantic standards.
Ensure architecture aligns with enterprise reference architectures, security requirements, and healthcare compliance standards, including GxP and GDPR.
Identify opportunities to consolidate legacy data silos, reduce technical debt, and move toward vendor-agnostic architectural patterns.
Partner with Product Owners, Enterprise Architects, Data Engineers, and Commercial Business Leaders to translate business capabilities into scalable data products.

Benefity

Access to Darize Learning & Development, an internal development platform with webinars, industry reports and articles, access to learning platforms such as DataCamp and Coursera, and invitations to technical, business, and lifestyle events.
Community and networking events, including Kick-Off trips, Christmas celebrations, Summer Sport Games, family picnics, and cultural events.
Consultant Development Program with personalized professional development support from experienced mentors and development advisors.
Private healthcare, life insurance, a sports card for the employee and family members, and access to employee discounts in Poland and abroad.
Dedicated Agent support for project continuity, client communication, day-to-day administration, and long-term professional development.

Spotkania integracyjne

Szkolenia wewnętrzne

Opieka zdrowotna

Ubezpieczenie

Karta sportowa

45 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz