Senior Database Architect

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🕒 May 8

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Mitek Systems

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1986

🤖 Artificial Intelligence

📋 Compliance

🔐 Security

Artificial Intelligence • Compliance • Security

Mitek Systems is a leading provider of identity verification and biometric authentication solutions, serving a wide array of industries. It specializes in technologies such as mobile capture, biometric authentication, and fraud detection, offering AI-driven solutions to enhance compliance, security, and customer onboarding processes. Mitek Systems is renowned for its pioneering Mobile Deposit technology and its 4-dimensional biometric authentication, which includes face and voice liveness detection. The company focuses on protecting against financial fraud and ensuring compliance with regulatory standards, helping businesses to build customer trust through secure and seamless user experiences.

📋 Description

• Drive data infrastructure that enables data-informed decision-making • Partner closely with Product Managers, Data Analysts, Software Engineers, and business stakeholders • Deliver stable, high-quality data pipelines, enterprise reporting, and datasets • Optimize and maintain OLTP databases, ensuring reliability, performance, and production readiness • Audit systems, improve data quality, refactor legacy pipelines, and apply best practices • Build and maintain scalable data systems that power advanced analytics across the business • Design performance testing and release validation frameworks to prevent regressions • Establish strong production processes such as monitoring, alerting, backup and recovery, access controls, and incident response

🎯 Requirements

• Bachelor's degree in Mathematics, Statistics, Computer Science, or related field • 5+ years of experience as a Database Engineer, Data Engineer, or similar role • Experience designing, implementing, and maintaining high performant, scalable OLTP systems. • Hands-on experience and advanced knowledge of SQL (e.g., Postgres, Snowflake) • Strong experience with data modeling, data warehouses, and lakehouse architectures • Experience designing and implementing scalable data architectures, including batch and streaming pipelines • Experience building ELT pipelines with dbt and Snowflake • Intermediate to advanced Python development skills • Experience assessing and improving existing database systems, including performance tuning (indexing, query optimization, partitioning) and data quality remediation • Strong understanding of database internals and transactional systems • Experience implementing backup, recovery, and high-availability strategies • Experience designing and implementing performance/load testing frameworks for data systems • Knowledge of benchmarking, regression testing, and release validation processes • Experience building automated testing pipelines to ensure data quality and system performance across deployments • Experience defining and maintaining production database processes, including monitoring, alerting, and incident response • Familiarity with observability tools and practices (logging, metrics, tracing) • Strong understanding of SLAs, SLOs, and data reliability best practices • Experience with AWS data technologies (Glue, Kinesis, Lambda) • Experience with orchestration tools (Airflow) • Experience with infrastructure-as-code (Terraform) • Knowledge of the Software Development Lifecycle • Experience with CI/CD pipelines, especially for data systems • Experience with containerization (Docker, Kubernetes) • Knowledge of encryption, anonymization, and tokenization • Experience with open table formats and data catalogs • Familiarity with data observability tools (e.g., Monte Carlo, Datadog, Prometheus)