CareerPlan

Data Architect

Prague, CZFull-time2026-10-13 → 2026-11-10
Hybrid

Core

Design and build scalable Customer Data Platform, Enterprise Analytics, and Data Science solutions using cloud technologies to deliver actionable insights for business processes.

Role type

Senior Data Architect

Builds

Scalable data architectures, data pipelines, and BI solutions for global brands

Domain

Marketing technology, Customer Data Management, Cloud Data Engineering

Deliverable

production ML models

Required skills

Cloud data platforms (AWS/Azure/GCP), Data Lakehouse/DWH (Databricks, Snowflake, Microsoft Fabric), ETL/ELT (dbt, Airflow), Data Modeling (Dimensional, Data Vault), SQL, Architecture methodologies (TOGAF, Archimate), GenAI foundations (RAG, vector search), CI/CD, Infrastructure as Code (Terraform)

Preferred skills

Customer Data Platform implementations, Data Science/ML concepts, Marketing/CRM solutions (Salesforce, Adobe, Google)

Technologies

AWS, Azure, GCP, Databricks, Snowflake, Microsoft Fabric, dbt, Airflow, Power BI, Tableau, Qlik, Python, Java, Scala, C#, Terraform

Responsibilities

Provide thought leadership and drive architecture of data solutions; Translate business goals into technical solutions; Set architectural vision and direction across teams; Apply governance methods for scalability and security; Supervise implementation teams; Support pre-sales with technical solutions and estimates; Promote internal delivery frameworks

Seniority

Senior, hands-on IC with strategic leadership