Ripple is looking for a Manager of Data Infrastructure to lead our Data Engineering efforts within the Data team. This team is comprised of Data Engineering, Business Intelligence and Analytics, and Data Science.
What you'll do:
* Manage and mentor a team of engineers responsible for designing, building and operating our ever growing data infrastructure * Support our analytics and data science teams as well as our externally-facing data APIs * Build systems and services that abstract the engines and will allow the users to focus on business and application logic via higher level programming models * Improve and maintain data pipelines and tools to keep pace with the growth of our data and its consumers * Identify and analyze requirements and use cases from multiple internal teams (including finance, compliance, analytics, data science, and engineering); work with other technical leads to design solutions for the requirements * Mentor and guide the professional and technical development of your team members. Help develop their careers and assign them to projects tailored to their skill levels, personalities, work styles, and professional goals * Instill a spirit of continuous improvement in the team's code, architecture, and processes * Work with your team and customers to sketch out the company's vision for a data warehouse architecture
Who you are:
* 10+ years of software infrastructure experience * You are a people leader and a technical leader * Deep experience with distributed systems, distributed data stores, data pipelines and other tools in cloud services environments (e.g AWS, GCP) * Experience with Hadoop, Spark, and/or AWS data ecosystems * Experience with database internals, database language theories, database design, SQL and database programming * You have a passion in building and motivating teams to reach their potential * You are a strong partner to other engineering and non-engineering teams and can drive cross-functional projects forward * You have experience building internal infrastructure that is shared across teams * Solid leadership and communication skills
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