What you will do

• Design and evolve scalable data products architectures that support analytics, reporting, and advanced use cases across domains
• Partner with domain and product teams to translate business needs into clear data product contracts aligned with our data platform architecture and strategy
• Build and operate reliable ingestion and transformation pipelines, with strong testing, observability,and cost aware operations
• Lead delivery and technical alignment n complex cross team initiatives through design reviews, mentoring, and hands on contribution
• Collaborate closely with platform,security,and operations stakeholders to align engineering standards, CI/CD, and best 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

• Strong SQL skills plus hands on experience with Databricks and Apache Spark, including performance tuning and cost aware design on Azure
• Proven experience budling production grade 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