Enterprise Data Architect

Posted about 1 month agoViewed

💎 Seniority level: Lead, At least 5 years

📍 Location: Poland

🔍 Industry: Sustainability ratings

🗣️ Languages: English

⏳ Experience: At least 5 years

🪄 Skills: LeadershipSQLETLStrategyAzureData engineeringNosqlMentoringDevOpsWritten communicationCompliance

Very good knowledge of data platforms, including data warehouses, lakes, and BI tools.
Expertise in multi-domain analytical architectures such as data mesh and self-service analytics.
Specific experience with Databricks.
Experience with enterprise data models design and data engineering practices.
Broad understanding of data integration technical aspects.
Practical experience with MDM, RDM, CDP, ETL, ELT, SQL and noSQL.
Hands-on experience with cloud-native architectures and services.
Good stakeholder management skills and proficiency in communication.

Participate in building target architectures and long-term strategic roadmaps.
Advise business and technical stakeholders on self-service data platform capabilities and best practices.
Collaborate with Product Managers to ensure data products are designed for reusability and scalability.
Continuously improve architecture governance practices.
Develop and maintain policies for consistent data platform frameworks.
Define and maintain Enterprise data models and guide implementation.
Monitor new technological advances and assist project teams in reducing technical debt.