• Build scalable, high-performance data infrastructure that transforms complex transactional and financial data into trusted datasets for regulatory reporting and business operations. • Develop reliable data pipelines and data products that power regulatory reporting, financial operations, analytics, and operational insights while ensuring data accuracy and reliability. • Design, build, and optimize modern data models and distributed data pipelines. • Leverage AI throughout the software development lifecycle to improve engineering productivity, strengthen data quality, and build trusted data products. • Collaborate with cross-functional stakeholders to translate complex business and regulatory requirements into scalable, analytics-ready data models and solutions. • Mentor Data Engineering teammates by sharing best practices, providing technical guidance, and helping raise engineering standards across the team. • Collaborate in an agile environment to deliver scalable data solutions that support evolving business and regulatory needs.

• Build, transform, and process datasets to keep data accurate, reliable, and available for analytics and business decisions. • Maintain high-quality data infrastructure supporting reporting, analytics, and operational insights, including pipeline ingestion, transformation and modeling, and Level 1 support for pipeline failures, monitoring, and data quality.

• Define migration strategy and execution roadmap. • Lead data discovery, profiling, and assessment activities. • Develop data mapping and transformation rules. • Manage data cleansing and enrichment initiatives. • Execute mock migrations and validation cycles. • Perform reconciliation and data quality checks. • Coordinate business sign-offs and migration approvals. • Support cutover planning and go-live activities. • Develop migration documentation and governance processes.

• Design and deploy data infrastructure needed to drive data-driven decision-making solutions • Design and implement complex data orchestration models, modeling metadata, scaling reporting tools for data science and ML products users • Be the company’s expert on data administration, data management and scalable data systems • Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses • Work with the Product and Enterprise Engineering system teams to structure source systems for reporting consumption across the enterprise • Help maintain CDC pipelines to power customer reporting • Help develop front end applications to expose analytical data sets enterprise wide