• Demonstrated leadership and mentorship across engineering teams and participates in advancing the skills of the overall team in data analytics, data structure, data security, data governance, and business intelligence. • Established process improvements, tooling, and/or introduced libraries that significantly improved the developer experience in terms of maintainability, quality, scalability, or security. • Consistently produces high quality, maintainable, low defect, well designed, and testable code. • Write and maintain scripts written in Python for data engineering and machine learning pipelines. • Modification of database objects using SQL (stored procedures, views, tables etc.) • Regularly collaborates with other engineers, architects, and DevOps during design and implementation. Also works closely with Product Management and other areas of the business to ensure market needs are met. • Led the technical design and implementation of either a new feature, or a significant refactor of an existing feature set and participates in the discovery track to understand, define, and document the requirements so that it can be executed upon by the development team(s). Including adhering to defined security standards in both functional and non-functional duties of job. • Produces technical documentation that captures and communicates implementation details using: • Flowcharts • Sequence Diagrams • Activity/Dataflow Diagrams • Block Diagrams • State Machine Diagrams • Entity Relationship Diagrams • Participates in and provides meaningful feedback in code reviews as it relates to data structure, governance, query optimization, usage, and reporting. • Keeps abreast of technology trends and regularly hosts and/or facilitates technology discussions/lunch and learns or other educational efforts with the broader team. • Recognized by peers as a data expert and leader within the organization. • Work with cloud storage and warehousing tools such as Snowflake. • Maintain and deploy Lambda services in AWS. • Work with reporting software such as Metabase. • Deep understanding of data infrastructure and data architecture with demonstrated ability to conceptualize and implement data solutions from code through infrastructure leveraging best practices and automation that satisfies business needs for reporting and decision making. • Demonstrated understanding of resource cost, planning and optimization when architecting data solutions in the cloud. • Other duties as assigned.