Senior Data Architect

📋 Description

• Design, implement, and optimize data models, warehouses, and data lakes.
• Define data architecture standards, best practices, and patterns.
• Collaborate with software engineering, data science, and business teams.
• Architect data integration, ETL pipelines, and governance frameworks.
• Design and implement MDM strategies and data quality processes.
• Evaluate data technologies and platforms for performance and scalability.

🎯 Requirements

• Bachelor's or master's in computer science, engineering, or related field.
• 5+ years' experience in data architecture, database design, and data management.
• Experience in data modeling, warehousing, and ingestion frameworks.
• Experience with NoSQL, Kafka, Middleware, and cloud platforms (AWS, Snowflake).
• Designing callable, high-performance, resilient data architectures.
• Data quality, governance, and metadata management knowledge.

🎁 Benefits

• Certifications such as Certified Solutions Architect.