About the Role
You will own the implementation of automated data quality controls and remediation workflows in a Microsoft Purview and Azure environment — from rule authoring and monitoring through to root-cause investigation and resolution, as part of a large enterprise data program.
What You Will Do
What We Are Looking For
Nice to Have
Analyze legacy SAS Data Integration pipelines, document their transformations, dependencies, and business logic, and produce technical specifications that help migration teams recreate and validate data workflows.
Own the design, delivery, and reliability of complex data pipelines and models across Azure and Snowflake, enabling trusted data for business decisions while setting engineering standards and mentoring colleagues.
Designs and optimizes Informatica CDI data pipelines while migrating legacy SAS workflows to cloud-native architectures, preserving business logic and validating data fidelity across modern data platforms.
Design, build, and operate production-grade real-time data products, owning streaming pipelines, APIs, and services while improving reliability and guiding engineering practices.
Build and scale data pipelines, integrations, and models connecting product, customer, sales, and revenue data to power enterprise reporting, forecasting, customer intelligence, and GTM decisions.
