Ripple is looking for a Senior Engineer to help build scalable Data infrastructure. You will be part of the effort to enable Ripples to democratize data by developing self-serving & curated data models through financial Hub. Data is core to everything that Ripple does today & you will design & mentor the data engineers & data Ops pods that will be at the center of data. Our data science research direction, machine learning strategy, & analytics will rely on the infrastructure you build. As a hands-on leader for this team,You will incorporate best practices, learn about & leverage new technologies, work with an experienced team of engineers, & be part of a team that has a lot of fun along the way!

Key Responsibilities

• Manage & track data as it gets processed & moved from & to different sources
• Manage workflows & data build processes that help the BI team build key business metrics & design dashboard visualizations
• Troubleshoot problems with data (missing, corrupted, invalid) & build data recovery strategy
• Partner with  data engineers to implement required data elements & attributes to enhance business, financial & business operational analytics.
• Help improve & maintain high levels of data quality & integrity across various data sources. Act as a central control point when it comes to data change management.
• Develop & deploy data models in a methodical & disciplined manner to satisfy data needs of various functional teams.
• Continuously design the future state of our reporting process by collaborating with our Business Systems, Data Engineering, & business partner teams
• Work closely with other members of the BI team to better design & build metrics that enhance our analytical capabilities
• Assess the effectiveness & accuracy of new data sources, data points, & data gathering techniques
• Ensure proper documentation is in place for all key financial & external reports requirements, design reviews, UAT & approvals as required per SOX compliance

Qualifications

• 5+ years experience in data platform preferably Data warehousing
• 5+ years of experience in Distributed DB like Bigquery, snowflake, Presto,Netezza or something similar
• 4+ years of experience in cloud technologies like AWS, GCP & Azure
• Deep knowledge in Data Warehouse architecture & integration
• Experience with data management in SQL and/or NoSQL databases (PostgreSQL, Oracle, Teradata, Hadoop).
• Familiar to cloud-based architectures, development, test, & deployment automation.
• String understanding of SQL, data structures, data integrity, & schema design best practices
• Prior experience with data processing technology (e.g. Spark, Hadoop) & workflow management tools (e.g. Airflow, DBT)
• Experience with schema design & dimensional data modeling.
• A strong advocate of data governance & data quality
• Experience with distributed event streaming platforms like Kafka, Flink, etc 
• Experience with database internals, database language theories, database design, SQL & database programming
• You have experience building internal infrastructure that is shared across teams.
• Good understanding of SOX compliance & internal controls
• Solid leadership & communication skills

Nice to have

• Experience with AWS & Google cloud ecosystem
• Experience in building self-service data services
• Crypto background
• Familiarity with Kubernetes

WHAT WE OFFER:

• The chance to work in a fast-paced start-up environment with experienced industry leaders
• A learning environment where you can dive deep into the latest technologies & make an impact
• Modern office in San Franciscos Financial District
• Fully-stocked kitchen with organic snacks, beverages, & coffee drinks
• Weekly company meeting - ask me anything style discussion with our Leadership Team
• Team outings to sports games, happy hours, game nights & more!