Lead Data Engineer

Job Details

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

• Functional requirements
• SLAs / SLOs
• Quality and compliance standards
  
  

Collaboration with Data Product Owner

Partner Closely With The Data Product Owner To

• Understand business outcomes and priorities
• Refine data product scope and roadmap
• 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

• Batch and near real time processing
• 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

• Validation checks
• Reconciliation logic
• Data freshness monitoring
  
  

Ensure high availability and fault tolerance

Lead root cause analysis for data incidents

Drive continuous quality improvement