Contribute subject matter expertise across technology domains, using modern engineering and architectural patterns to design systems (data, services, APIs, UI) that deliver exceptional digital customer experiences. Introduce and document best practices, including business cases, process context, and diagrams, to accelerate the delivery of cloud-native solutions that enhance market share and customer satisfaction. Design next-gen data solutions that standardize and make data highly available for channel consumption. Define and drive the adoption of integration patterns for seamless data availability across channels. Align with product partners and stakeholders to influence design decisions and ensure effective feature evaluation. Communicate the business value of the architectural roadmap, presenting options and trade-offs aligned with broader business strategies.

Design, develop, and maintain efficient data pipelines that collect, process, and store data from various sources, such as user interactions, listing information, and external data feeds. Assist in creating data models to facilitate efficient analysis and manipulation for merchandising optimization. Ensure the quality, consistency, and accuracy of the data. Build scalable pipelines using SparkSQL and Scala, leveraging the Airflow scheduler/executor framework. Collaborate with cross-functional teams, including Data Scientists, Product Managers, and Software Engineers, to define data requirements and deliver solutions that drive merchandising and sales improvements.

Build interactive dashboards and reports to visualize KPIs and trends. Collaborate with stakeholders to define business needs and translate them into Domo solutions. Partner with data teams to connect and transform data sources using Domo ETL tools. Track key metrics and identify risks, trends, and opportunities. Streamline reporting workflows and implement automated solutions using Domo's features. Ensure data accuracy and validate dashboards before deployment.