Beginn
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
Ihr Profil
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
