Mandatory Skills:
• Strong understanding of Data as a Product mindset
• Ability to convert business outcomes into data product requirements
• Defining and managing Data product scope/Data contracts
• Domain knowledge (e.g., Finance, Sales, Supply Chain, Customer, Risk)
• Expert in ETL / ELT design patterns
• Hands on experience with Azure / AWS / GCP
• Hands on experience with Data Warehouses (Snowflake/Azure Synapse)
Data Product Engineering Ownership
• Lead the design, build, and maintenance of domain owned data products
• Translate product requirements into scalable data engineering solutions
• Ensure data products meet defined:
o Functional requirements
o SLAs / SLOs
o Quality and compliance standards
Collaboration with Data Product Owner
• Partner closely with the Data Product Owner to:
o Understand business outcomes and priorities
o Refine data product scope and roadmap
o Balance delivery speed with technical sustainability
• Provide technical input for backlog prioritization and sprint planning
Data Pipeline & Transformation Design
• Design and implement ETL/ELT pipelines for data products
• Support:
o Batch and near real time processing
o Structured and semi structured data
• Manage schema evolution and backward compatibility
• Implement data contracts for product consumers
Data Quality, Reliability & Trust
• Define and enforce data quality rules for data products
• Implement:
o Validation checks
o Reconciliation logic
o Data freshness monitoring
• Ensure high availability and fault tolerance
• Lead root cause analysis for data incidents
• Drive continuous quality improvement