Principal Commercial Data Architect

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

SeniorZdalnie·WarszawaFull-time·B2B

#475928·Dodano wczoraj·1

Źródło: nofluffjobs.com

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Tech Stack / Keywords

DataDDDAPIKafkaAMQPMQTTREST API GraphQL Snowflake AWSAzure Data LakedbtSQL Salesforce SAP ServiceNowAISecurityGDPRGXP

Podsumowanie oferty

You will shape the Commercial Service Backbone, defining the core data foundation for Sales, Marketing, Customer Service, and Commercial Operations. You will establish scalable data models, semantic standards, and integration patterns supporting trusted customer and product data, analytics, and AI-driven solutions, using Domain-Driven Design (DDD) and technologies such as Kafka, REST, and Snowflake.

Wymagania

12+ 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.
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 tools 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 affect conversational and agentic AI systems, and ability to design controls against 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 CRM, Service Desk, Marketing Automation, Order-to-Cash, and Commercial Operations.
Design and maintain conceptual and logical data models, taxonomies, and ontologies for commercial entities, including HCP/HCO master data, customer interactions, service entitlements, and commercial contracts.
Apply Domain-Driven Design (DDD) to define bounded contexts across commercial sub-domains.
Design real-time and event-driven integration patterns and API contracts connecting service platforms, transactional systems, data lakes, and warehouses.
Apply Event-Driven Architecture (EDA) principles to support scalable data synchronization and 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 consumed by conversational and agentic AI.
Maintain reliable semantic definitions and data lineage across replication, aggregation, and downstream consumption.
Align commercial data consumption with enterprise AI guardrails covering 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) for metadata and semantic standards.
Ensure alignment 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 adopt vendor-agnostic, future-ready architectural patterns.

Benefity

Access to Darize Learning & Development, including webinars, industry reports and articles, and learning platforms such as DataCamp and Coursera.
Invitations to technical, business, and lifestyle events, including Kick-Off trips, Christmas celebrations, Summer Sport Games, family picnics, and cultural events.
Personalized professional development support through the Consultant Development Program, with 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.
E-learning platforms, a training budget, integration events, an Employee Referral Program, language classes, a career counseling program, and a lunch card.
Dedicated Agent support for project continuity, client communication, day-to-day administration, and long-term professional development.

Szkolenia wewnętrzne

Dofinansowanie szkoleń

Spotkania integracyjne

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