<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> As Staff Data Engineer (all genders), you will shape and scale our cloud data platform and its reference architecture.<br/><br/><strong>Tasks<br/><br/></strong><strong>What You Will Do<br/><br/></strong><ul><li>Design and evolve scalable data products architectures that support analytics, reporting, and advanced use cases across domains</li><li>Partner with domain and product teams to translate business needs into clear data product contracts aligned with our data platform architecture and strategy</li><li>Build and operate reliable ingestion and transformation pipelines, with strong testing, observability,and cost aware operations</li><li>Lead delivery and technical alignment n complex cross team initiatives through design reviews, mentoring, and hands on contribution</li><li>Collaborate closely with platform,security,and operations stakeholders to align engineering standards, CI/CD, and best practices</li><li>Work agile using Scrum or Kanban, contributing to planning, prioritization, and continuous improvement<br/><br/></li></ul><strong>Requirements<br/><br/></strong><strong>What you will need<br/><br/></strong><ul><li>5+ years in data engineering or data architecture roles in cloud environment (preferably Microsoft Azure), including designing scalable lakehouse platforms and reference architectures</li><li>Strong SQL skills plus hands on experience with Databricks and Apache Spark, including performance tuning and cost aware design on Azure</li><li>Proven experience budling production grade ingestion and transformation pipelines, ideally with Delta Lake patterns,orchestration, and robust testing</li><li>Solid software engineering practices for data systems,including Python or Scala, Git based workflows,CI/CD, and infrastructure as code such as Terraform</li><li>Experience with modern data governance and security, including Unity Catalog concepts, RBAC, ABAC, data masking, lineage, and auditing</li><li>Strong data modeling capability for analytics and data products, including dimensional and domain-oriented modeling, plus designing data products, SLAs, and data quality controls</li></ul> </div>