What are the responsibilities and job description for the Lead Data Engineer (Data Product) position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Sharpedge Solutions, is seeking the following. Apply via Dice today!
Role - Lead Data Engineer (Data Product)
Location - Warsaw, IN(Onsite - 100%)
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 / Google Cloud Platform
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:
Partner closely with the Data Product Owner to:
Data Pipeline & Transformation Design
Design and implement ETL/ELT pipelines for data products
Support:
Implement data contracts for product consumers
Data Quality, Reliability & Trust
Define and enforce data quality rules for data products
Implement:
Lead root cause analysis for data incidents
Drive continuous quality improvement
Role - Lead Data Engineer (Data Product)
Location - Warsaw, IN(Onsite - 100%)
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 / Google Cloud Platform
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
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
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
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
Lead root cause analysis for data incidents
Drive continuous quality improvement