Staff Data Engineer (all genders

As Staff Data Engineer (all genders), you will shape and scale our cloud data platform and its reference architecture.

• Design and evolvescalable data productsarchitecturesthat support analytics,reporting, and advanced use cases across domains
• Partner with domainand product teamsto translate business needs into cleardataproductcontractsaligned with ourdata platform architecture and strategy
• Buildandoperatereliable ingestion and transformation pipelines, with strong testing, observability,and cost aware operations
• Lead delivery and technicalalignmentn complex cross teaminitiativesthroughdesign reviews, mentoring, andhands on contribution
• Collaborate closely with platform,security,and operations stakeholders to align engineering standards, CI/CD, andbest practices
• Work agile using Scrum or Kanban, contributing to planning, prioritization, and continuous improvement

What you will need

• 5+ years in data engineering or data architecture roles in cloud environment (preferably Microsoft Azure), including designing scalable lakehouse platforms and reference architectures
• StrongSQLskills plus hands on experience with Databricks and Apache Spark, including performance tuning and cost aware design on Azure
• Provenexperiencebudlingproductiongrade ingestion and transformation pipelines, ideally with Delta Lake patterns,orchestration, and robust testing
• Solid software engineering practices for data systems,including Python or Scala, Git based workflows,CI/CD, and infrastructure as code such as Terraform
• Experience with modern data governance and security, including Unity Catalog concepts, RBAC, ABAC,data masking,lineage, and auditing
• Strong data modeling capability for analytics and data products, including dimensional and domain-oriented modeling, plus designing data products, SLAs, and data quality controls