Senior Database Engineer

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Requirements:

• 7+ years of experience as a Database Engineer, Data Platform Engineer, Software Engineer or similar role, with a proven track record in building and scaling database infrastructure.
• Strong expertise in cloud infrastructure, particularly AWS, Kubernetes, and Terraform, with deep hands-on experience in deploying and maintaining large-scale database systems (e.g., PostgreSQL).
• Experience managing large database deployments, having previously worked with and supported 10+ databases across multiple environments, ensuring seamless integration, high availability, and performance tuning.
• Advanced knowledge of data architectures, including data lakes, warehouses, and pipelines, with the ability to design solutions that can handle high-throughput, real-time data processing.
• Proficiency with Dataform for managing data workflows and transformations, enhancing the flexibility and efficiency of the data platform.
• Experience in leading and mentoring teams, with a demonstrated ability to manage complex projects and collaborate with multiple stakeholders across engineering and product teams.
• Proficiency in Python for automation, building data pipelines, and optimizing workflows across data systems.
• Strong experience in automating processes and building infrastructure-as-code solutions using Terraform and other modern tools.
• A deep understanding of networking and security practices, including managing network security for databases and protecting sensitive information.
• Fluency in both written and spoken English, with excellent communication skills to articulate complex ideas to technical and non-technical audiences.

Responsibilities:

• Designing and implementing scalable, reliable data architecture that supports Veriff’s high-volume identity verification services.
• Providing technical leadership to the Data Platform team, driving the vision, strategy, and implementation for data infrastructure, including databases, data pipelines, and abstraction layers.
• Overseeing the lifecycle management of data systems, from database deployment and patching to backups, upgrades, and maintenance, ensuring reliability and compliance.
• Managing and optimizing large database deployments, with experience handling 10+ databases at scale, ensuring performance, reliability, and data consistency.
• Architecting cloud infrastructure solutions using AWS, Kubernetes, and Terraform, enabling the deployment and maintenance of large-scale, mission-critical database systems.
• Leading efforts to implement and optimize Dataform for transforming and managing data workflows, and driving improvements in data pipeline efficiency.
• Guiding on best practices for managing network security, data access, and privacy, ensuring sensitive data is secure throughout its lifecycle.
• Collaborating with cross-functional teams (Product, Engineering, Data Science) to design data solutions that drive business value and ensure operational efficiency.
• Monitoring and improving data system performance, scalability, and availability, ensuring Veriff’s data platform supports ever-growing demand.
• Leading initiatives to optimize data systems, automate manual processes, and maintain high levels of data quality and consistency across services.
• Participating in on-call shifts as part of an engineering leadership rotation, ensuring swift resolution of incidents and continuous improvement of operational processes.