Help to drive our organizational data strateg y , including data model designs, database development standards, implementation and management of data warehouses and data analytics systems

Share expertise by collaborating and coaching team members through code and design reviews to ensure code integration into system s is up to team standards

Set a positive example for the team by consistently shipping high quality solutions and maintaining a high standard of technical excellence

Coordinate and collaborate with development teams, stakeholders, and customers for smooth functioning of data systems

Extend and support a data engineering environment with a focus on developer experience t hat facilitates maximum efficiency, testing, and integration

Make recommendations for continuous improvement of our existing data and ETL processes

Participate in optimizing our end-to-end data architecture, from selection of technology, design, development, security, and testing of applications

Lead in the creation and maintenance of technical documentation, architecture diagrams and visualizations for development te a m s and internal stakeholders

Review best practices around data architecture with internal team members

Computer science education or equivalent experience

Hands-on experience with Databricks

Hands-on experience with PowerBI report development

Hands-on experience and knowledge of the Python programming language

Experience processing and reporting against large amounts of financial data in a scalable fashion

Public cloud expertise and/or certifications - Azure, AWS, GCP

Hands-on experience with DevOps methodologies and concepts including CI/CD, IaC and automated testing