Data Architect, Data Intelligence

Everseen

full-time

Posted on: 9/15/2025

Origin: • 🇷🇸 Serbia

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SeniorLead

AWSAzureCloudETLGoogle Cloud PlatformPythonSQL

About the role

Develop and maintain the enterprise data architecture blueprint aligned with business strategy and AI product roadmaps
Define enterprise-wide data models, taxonomies, and standards for consistent data usage
Design and oversee data integration solutions (ETL/ELT, APIs, streaming, event-driven architecture) across applications and platforms
Enable real-time and batch data flows to support operational and analytical systems
Implement data governance policies covering metadata management, data lineage, access control, and retention
Define data quality metrics and oversee data cleansing and validation initiatives
Select, implement, and manage enterprise data platforms (data lakes, API gateways, event streaming platforms)
Ensure architectures are scalable, secure, and compliant with regulations (e.g., GDPR, CCPA)
Identify opportunities for data-as-a-service offerings, dashboards, and commercial data products
Define data licensing, pricing models, and usage tracking mechanisms
Partner with engineering, data science, and business stakeholders to define data strategy that fuels AI innovation

8+ years in data architecture, data engineering, or enterprise data management
Strong experience in data integration architecture across complex systems (ETL/ELT, APIs, streaming, event-driven)
Expertise in data modeling (conceptual, logical, physical) and database technologies
Strong knowledge of cloud data platforms (AWS, Azure, GCP) and integration tools
Familiarity with data governance frameworks and regulatory compliance (e.g., GDPR, CCPA)
Proficiency in SQL and Python for building data pipelines, performing data transformations, and implementing automation tasks
Experience defining data governance, metadata management, data lineage, access control, and retention
Experience defining data stewardship roles and accountability structures