Senior Data Architect (Data Lake & SQL)

Quick Facts

• Focus: Data Lake & SQL, enterprise data architecture
• Level: Senior/advanced

Description

Senior Data Architect role focused on designing and implementing enterprise-grade data platform solutions, including data warehouses and data lakes. You will model dimensional data, implement and analyze large datasets, and take ownership of the full project lifecycle—from gathering business requirements through design, development, testing, and deployment.

Responsibilities

• Design and implement advanced data warehouse (DWH) solutions
• Perform multidimensional modeling and conceptualize modern data models
• Implement databases physically and conduct advanced analysis of large datasets
• Participate in the full project lifecycle (business requirements, system design, building, testing, and deployment)

Requirements

• Minimum 5 years of experience as a Data Architect, Senior Data Analyst, or similar role
• Deep knowledge of database principles, theory, and physical database structures
• Practical experience in Data Lake design: from structure planning to management and advanced optimization
• Strong proficiency with enterprise data management technologies: SQL (MS SQL Server), Hadoop, Vertica, Apache NiFi, and cloud solutions
• Excellent knowledge of DWH solutions and design patterns in ETL processes
• Experience using professional data modeling tools
• Basic knowledge of virtualization and containerization solutions

Benefits

• Long-term project and stable collaboration on key systems for the energy sector
• Benefits package on preferential terms (MultiSport cards, private medical care LuxMed)
• Work with an expert team focused on architecture quality rather than speed