Senior Commercial Data Architect: Scale Data Platforms

7n; Warszawa; On-site; PLN 220,000 - 320,000; Full time

Benefits offered by this job

Dedicated agent

Consultant Development Program

Learning & Development platform

Job summary

7N seeks a senior data architect to design a scalable Commercial Service Backbone and domain data models. You will drive architecture decisions, govern EDA patterns, and coordinate with stakeholders to align roadmaps.

Required are 12+ years in data architecture or related fields, strong modeling skills, and hands-on experience with Snowflake/AWS/Azure Data Lake, Kafka and APIs. Remote-friendly in international contexts.

Qualifications

• 12+ years in Data/Solution/Enterprise Data roles with architecture focus.
• Strong modeling: conceptual, logical, physical data models.
• MDM experience and enterprise-scale data platforms.

Responsibilities

• Design and evolve a scalable Commercial Service Backbone.
• Define architecture for Customer Data, Master Data, and Contracts.
• Apply DDD to align business domains with tech.
• Govern event-driven integration and API patterns.
• Promote data governance, metadata, and lineage practices.

Skills

Data Modeling

Domain-Driven Design

Enterprise Data Architecture

Cloud Platforms

Event-Driven Architecture

SQL

DBT

REST APIs

GraphQL APIs

Kafka

ADRs

GDPR

Data Governance

Metadata Management

AI-ready Data Architecture

Mdm

Snowflake

AWS

Azure Data Lake

Education

Bachelor's or Master's in Computer Science or related field

Tools

Snowflake

AWS

Azure Data Lake

Kafka

AMQP

MQTT

DBT

REST APIs

GraphQL APIs

SQL

Job description

7N seeks a senior data architect to design a scalable Commercial Service Backbone and domain data models. You will drive architecture decisions, govern EDA patterns, and coordinate with stakeholders to align roadmaps.

Required are 12+ years in data architecture or related fields, strong modeling skills, and hands-on experience with Snowflake/AWS/Azure Data Lake, Kafka and APIs. Remote-friendly in international contexts.