miteksystems-2 - Mitek Systems - Sr. Data Engineer - Architecture

• Bachelor's degree in Mathematics, Statistics, Computer Science, or related field • 5+ years of experience as a Database Engineer, Data Engineer, or similar role • Core Data Engineering & Architecture • 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 • Database Optimization & Reliability • 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 • Performance Testing & Release Validation • 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 • Production Operations & Data Reliability • 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 • Tools & Platforms • 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) • Detail-oriented, with a strong data quality mindset • Strong problem-solving and troubleshooting skills with a proactive approach to system reliability • Self-starter with a bias toward ownership and continuous improvement • Comfortable bringing structure and best practices to ambiguous or legacy environments • Thrives in a fast-paced, startup-oriented, team-focused culture • Positive, collaborative, and energetic attitude • Excellent verbal and written communication skills • Ability to clearly explain complex technical issues to both technical and non-technical audiences