Staff Software Engineer, Data Infrastructure

6+ years of software engineering experience with 3+ years focused on data engineering and analytics systems. Expert-level experience with Snowflake. Deep proficiency in DBT. Strong expertise with Apache Airflow. Hands-on experience with Sigma or similar modern BI platforms. Extensive AWS experience, including data services and infrastructure management. Proficiency in Python, SQL, and other programming languages used in data engineering. Experience with infrastructure-as-code, CI/CD practices, and modern DevOps tools. Proven track record designing and implementing large-scale distributed data systems. Deep understanding of data warehousing concepts, dimensional modeling, and analytics architectures. Experience with stream processing, event-driven architectures, and real-time data systems. Knowledge of data governance, security frameworks, and compliance requirements. Strong background in performance optimization and cost management for cloud data platforms. Demonstrated ability to drive technical strategy and influence engineering decisions. Experience mentoring engineers and leading technical initiatives. Excellent communication skills. Track record of successful cross-functional collaboration. Experience establishing technical standards and driving adoption.

Define and drive the technical strategy for Docker's data platform architecture. Lead design and implementation of highly scalable data infrastructure leveraging Snowflake, AWS, Airflow, DBT, and Sigma. Architect end-to-end data pipelines supporting real-time and batch analytics. Drive technical decision-making around data platform technologies, architectural patterns, and engineering best practices. Establish technical standards for data quality, testing, monitoring, and operational excellence. Design and build robust, scalable data systems that process petabytes of data. Implement complex data transformations and modeling using DBT. Develop and maintain sophisticated data orchestration workflows using Apache Airflow. Optimize Snowflake performance and cost efficiency. Build data APIs and services that enable self-service analytics. Partner with Product, Engineering, and Business teams to understand analytics requirements. Collaborate with Data Scientists and Analysts to enable advanced analytics. Work with Finance, Sales, and Marketing teams to deliver accurate reporting. Support customer-facing analytics initiatives and embedded reporting capabilities. Engage with Security and Compliance teams to ensure data governance. Own operational excellence for critical data systems including monitoring, alerting, and incident response. Implement comprehensive data quality frameworks and automated testing. Drive performance optimization and cost management initiatives. Establish disaster recovery and business continuity procedures. Lead troubleshooting and resolution of complex technical issues. Mentor junior and mid-level engineers on technical skills and best practices. Conduct technical design reviews and provide guidance on architectural decisions. Drive knowledge sharing initiatives including documentation and tech talks. Establish and promote engineering excellence practices. Contribute to hiring and technical assessment processes.