Senior Database Engineer

Summary

Join Veriff's Data Platform Team as its founding Senior Database Engineer in the USA! This role involves designing and implementing scalable data architecture, providing technical leadership, and overseeing data system lifecycle management. You will manage large database deployments, architect cloud infrastructure solutions using AWS, Kubernetes, and Terraform, and optimize data workflows using Dataform. Collaboration with cross-functional teams is crucial. The ideal candidate possesses extensive experience in database engineering, cloud infrastructure, and team leadership. Veriff offers a competitive salary, full remote work, stock options, 401(k) matching, comprehensive insurance, learning and development budgets, and sabbatical leave.

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

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

Preferred Qualifications

• Experience with advanced data orchestration and monitoring tools like Apache Airflow, Prometheus, and Grafana
• Experience working for a global scaleup/startup
• Hands-on experience with Ansible or similar configuration management tools to automate data infrastructure workflows
• Experience with database CI/CD pipelines and a commitment to continuously improving deployment processes
• Familiarity with machine learning infrastructure and integrating data systems with ML pipelines for enhanced decision-making

Benefits

• Full-remote job within our eligible locations in the USA
• Stock options
• 401(k) matching
• Extensive, medical, dental, and vision insurance
• Learning and Development and Health & Sports budgets
• Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary