• Build and optimize full‑stack, cloud‑based data systems and pipelines that deliver high‑quality, analysis‑ready datasets for business and analytics teams • Interface with other technology teams to build Azure Data Pipelines to integrate with Data Lake and other enterprise platforms • Enhance ingestion, transformation, and orchestration workflows aligned with enterprise architecture standards • Collaborate with other technology teams to help engineer data sets and curate semantic models that support analytics, machine learning, KPI reporting, and business intelligence use cases. • Partner with business teams to enhance data models supporting business intelligence tools, increase data accessibility, and foster data-driven decision-making throughout the organization. • Partner with analysts and data scientists to translate business requirements into scalable engineering solutions that improve data accessibility and reliability. • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community. • Collaborate with digital product managers and deliver robust cloud-based solutions that drive powerful experiences and support enterprise‑wide analytics decision‑making. • Responsible for using innovative and modern tools, techniques, and architectures to partially or completely automate the most-common, repeatable, and tedious data preparation and integration tasks to minimize manual and error-prone processes and improve productivity. • Document data flows, transformations, and modeling logic to promote consistency and trust in delivered datasets.