Description

In this role, you will shape the cloud data platform by designing scalable architectures and translating business needs into actionable data contracts. Your day-to-day responsibilities will include building reliable data pipelines and collaborating with various teams to ensure high-quality data products.

Requirements

• •5+ years in data engineering or data architecture roles in cloud environment
• •Strong SQL skills and hands-on experience with Databricks and Apache Spark
• •Proven experience building production-grade ingestion and transformation pipelines
• •Solid software engineering practices for data systems, including Python or Scala
• •Experience with modern data governance and security concepts
• •Strong data modeling capability for analytics and data products
• •Structured, analytical thinking with a bias for scalable design
• •Product mindset for data platforms focusing on reusable patterns
• •Strong problem-solving and stakeholder translation skills
• •Ownership for DataOps and operational excellence
• •Strong collaboration skills to build governance by design
• •Communication and mentoring strength
• •Curiosity and learning mindset with interest in enabling ML and AI

Tasks

• •Design scalable data product architectures
• •Translate business needs into data product contracts
• •Build and operate reliable ingestion pipelines
• •Ensure strong testing and observability in operations
• •Lead technical alignment in cross-team initiatives
• •Conduct design reviews and mentor team members
• •Collaborate with platform, security, and operations teams
• •Align engineering standards and best practices
• •Contribute to agile planning and prioritization
• •Work across the end-to-end data product lifecycle
• •Ensure discoverability and quality monitoring

Tools & Technologies