Senior Data Engineer: Lakehouse & Finance Analytics

Synechron; Charlotte (NC); On-site; USD 110,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Opportunity to work abroad

Generous paid leave

Comprehensive insurance plans

Retirement savings plans

Training opportunities and Udemy for B

Job summary

Synechron seeks a Senior Data Engineer to design, develop, optimize, and maintain enterprise-scale data integration and warehousing solutions. The role emphasizes ETL/ELT, data modeling, and modern data engineering practices for finance and enterprise reporting.

Responsibilities include building scalable data pipelines, lakehouse architectures, and data quality controls, collaborating with stakeholders, and ensuring governance and security across data platforms.

Qualifications

• Bachelor’s degree in Computer Science, IT, Engineering, Data Science or related field.
• Experience in data engineering, ETL/ELT development, data warehousing, or related role.

Responsibilities

• Design scalable data pipelines for finance analytics and enterprise reporting.
• Build Lakehouse architectures using Bronze, Silver, and Gold data layers.
• Develop high-performance data ingestion and transformation processes at enterprise scale.
• Create batch and near-real-time data pipelines and ETL workflows.
• Implement data governance, security, and data quality checks.
• Maintain data dictionaries and source-to-target mappings.

Skills

SQL

Python

ETL/ELT

Data Modeling

Analytics

Education

Bachelor's degree

Tools

Databricks

Azure Data Factory

Azure Synapse

Power BI

Job description

Synechron seeks a Senior Data Engineer to design, develop, optimize, and maintain enterprise-scale data integration and warehousing solutions. The role emphasizes ETL/ELT, data modeling, and modern data engineering practices for finance and enterprise reporting.

Responsibilities include building scalable data pipelines, lakehouse architectures, and data quality controls, collaborating with stakeholders, and ensuring governance and security across data platforms.