Senior DWH Engineer – Data Architect

This is a fully remote position, open to applicants in Ukraine.

📋 Description

• Design and construct scalable architectures for Data Warehouses and Data Lakes.

• Develop and refine ETL/ELT pipelines for optimal performance.

• Create data ingestion solutions for various third-party SaaS platforms.

• Process and transform substantial amounts of structured data.

• Architect processes for incremental data synchronization.

• Assess and integrate contemporary Data Engineering tools and technologies.

• Enhance platform performance, scalability, and cost-effectiveness.

• Work collaboratively with stakeholders to shape the platform's future architecture.

• Guarantee high-quality, analytics-ready data for reporting and downstream consumers.

⛳️ Requirements

• Over 5 years of experience in Data Engineering or Data Architecture.

• Strong practical experience with Snowflake and/or Databricks or Microsoft Fabric.

• Experience in designing and creating Data Warehouse or Data Lake solutions.

• Proficient hands-on experience in Big Data processing.

• Extensive ETL/ELT pipeline development experience.

• Exceptional SQL skills.

• Experience managing large-scale datasets (terabytes of data).

• Solid understanding of data modeling and performance optimization.

• Upper-Intermediate+ level of English proficiency.

• Capacity to work independently and make architectural decisions.

🏝️ Benefits

• Flexible Part-Time hours (approximately 20–25 hours per week).

• Agile work schedule allowing for daily workload balance (4–6 hours/day).

• No late meetings or overtime requirements.

• Work on greenfield architecture without legacy constraints.

• Chance to develop a modern Data Platform from the ground up.

• Freedom to influence technology selections and architectural choices.

• Engage with challenging Big Data and distributed data processing issues.

• High level of ownership and autonomy in your role.

• Direct contribution to a new strategic initiative within the company.

• Opportunity to work with cutting-edge technologies in the Data Engineering field.