As Staff Data Engineer (all genders), you will shape and scale our cloud data platform and its reference architecture.
What you will do
- Design and evolvescalable data productsarchitecturesthat support analytics,reporting, and advanceduse cases across domains
- Partnerwith domainand product teamsto translatebusiness needs into cleardataproductcontractsaligned with ourdata platform architecture andstrategy
- Buildandoperatereliable ingestionand transformation pipelines, with strong testing, observability,and cost aware operations
- Lead deliveryand technicalalignmentn complexcross teaminitiativesthroughdesign reviews, mentoring, andhands on contribution
- Collaborateclosely withplatform,security,and operations stakeholdersto align engineering standards, CI/CD, andbest practices
- Work agile using Scrum or Kanban, contributing to planning, prioritization, and continuous improvement
Requirements
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 Databricksand Apache Spark, including performance tuning and cost aware design on Azure
- Provenexperiencebudlingproductiongrade ingestionand transformation pipelines, ideally withDelta 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 withmodern data governanceand 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
