Database Architect

Job Description

What we want:

• Analyze current database systems, including relational and non-relational databases, to identify inefficiencies, bottlenecks, and scalability issues.
• Develop a comprehensive re-architecture plan that includes database schema redesign, index optimization, query optimization, and improved data models.
• Lead initiatives to migrate databases to cloud platforms (AWS, Azure, Google Cloud, etc.) or hybrid cloud solutions, ensuring minimal downtime and data integrity.
• Optimize the database for performance, ensuring faster query execution times, efficient indexing, and improved data access speed.
• Ensure that all database re-architecture efforts comply with industry best practices for data integrity, privacy, and security, including encryption and backup strategies.
• Work closely with software engineering teams, DevOps, and infrastructure teams to align database re-architecture efforts with overall system architecture and application goals.
• Implement strategies for scaling the database to handle increasing load, and design systems for high availability and disaster recovery.
• Create detailed documentation for the new database architecture, including data flow diagrams, schema changes, indexing strategies, and operational guides.
• Stay updated with the latest database technologies and methodologies, recommending continuous improvements to the database architecture.
• Provide guidance and support to internal teams on best practices for database design, performance tuning, and cloud-based database solutions.

What you offer:

•  Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
• 5+ years of experience in database architecture, design, and administration.
• Proven track record of leading large-scale database re-architecture projects.
• Expertise in relational databases (e.g., MySQL, PostgreSQL, Oracle) and non-relational databases (e.g., MongoDB, Cassandra). QLIK, Goldengate
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud, specifically in migrating and managing databases.
• Deep understanding of database performance tuning, query optimization, and indexing strategies.
• Strong knowledge of data security and privacy standards.
• Experience with database replication, sharding, and high availability strategies.
• Excellent problem-solving and communication skills.