• Design and build data pipelines for large volumes of payment data that are performant, reliable, and correct — not just fast. • Own end-to-end data flows: from ingestion and transformation through to the outputs that Finance, Product, and clients depend on. • Drive data quality across your domain with tooling. • Work cross-functionally with Product, Finance and enable other Engineering teams via a ‘consulting’ style model. • Contribute to how the team works — code review culture, CI/CD standards, ADRs, how we handle incidents — we're building these practices now and senior engineers shape them. • Help onboard and level up engineers around you; there's real opportunity to make an impact here.

• Lead the development and optimization of clinical data systems • Drive data standardization and build validation frameworks • Design high-performance databases and pipelines across global trials • Architect scalable validation frameworks to proactively address systemic data issues • Build and maintain modular codebases, set coding standards, and mentor junior engineers • Oversee regulatory alignment with GCP and FDA 21 CFR Part 11 • Develop dynamic dashboards and analytics tools to deliver actionable insights into trial performance and data quality • Act as a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs

• Lead the development and optimization of clinical data systems • Drive data standardization initiatives • Build validation frameworks and design high-performance databases and pipelines across global trials • Serve as a strategic partner to Clinical Data Managers and cross-functional teams • Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements • Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs • Act as a strategic liaison between Clinical Data Engineering and other departments

• You will be part of a team responsible for supporting new and existing customers in their data engineering needs. • You will guide customers to make the best technical decisions to achieve their goals • You will actively work across multiple customer accounts, which you will need to track and report on their progress. • You will build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions. • You will design data solutions. • You will analyze sources to determine value and recommend data to include in analytical processes. • You will incorporate core data management competencies, including data governance, data security, and data quality. • You will collaborate within and across teams to support delivery and educate end users on data products / analytic environments. • You will perform data and system analysis, assessment, and resolution of defects and incidents of moderate complexity, correcting as appropriate. • You will test data movement, transformation code, and data components.