Lead ETL Engineer​/Data Engineering Lead

The Technology / ETL Lead will provide technical leadership for end-to-end data integration and engineering activities associated with Home Lending and FR Y-14M reporting modernization. The individual will collaborate with Solution Architects, Data Modelers, Business Analysts, Data Governance teams, Regulatory Reporting teams, and business stakeholders to design scalable, secure, and high-performance data processing solutions on GCP.

This role requires strong expertise in ETL architecture, cloud-native data engineering, mortgage servicing and origination data, regulatory reporting, and enterprise data governance practices.

Additional Information

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $105k - $115k/year & benefits (see below).

• Lead the design and implementation of cloud-native ETL and data engineering solutions.
• Define enterprise data integration architecture and development standards.
• Provide technical leadership to Data Engineers, ETL Developers, and offshore delivery teams.
• Drive best practices around scalability, performance optimization, resiliency, and automation.
• Conduct code reviews and technical design reviews.
• Mentor engineering teams and establish development standards.
• Design and develop large-scale ETL/ELT pipelines supporting Home Lending and FR Y-14M reporting or similar regulatory.
• Build ingestion frameworks for batch and near-real-time processing.
• Develop reusable data transformation and enrichment frameworks.
• Implement source-to-target mappings and transformation logic.
• Support migration of legacy ETL platforms to GCP.
• Design integrated data pipelines from multiple source systems into Big Query.
• Optimize high-volume data processing and transformation workloads.

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or related discipline.
• Handson experience in ETL and Data Engineering.
• Experience in leading enterprise data engineering teams.
• Experience with in Banking, Financial Services, or Regulatory Reporting domains.
• Experience supporting large-scale cloud migration initiatives.
• Experience working in Agile delivery environments.
• ETL & Data Engineering - ETL/ELT Architecture, Data Integration Frameworks, Data Transformation Design, Batch Processing, Data Reconciliation, Data Quality Frameworks, Metadata-Driven ETL Design
• Programming in Python, PySpark, SQL, Shell Scripting
• Databases experience in Oracle, Teradata, SQL Server, PostgreSQL, Big Query

• Experience in Home Lending modernization programs.
• Experience in regulatory reporting data ecosystems.
• Experience implementing cloud data platforms at enterprise scale.
• Understanding of enterprise data governance and control frameworks.
• Exposure to AI-assisted data engineering and data observability solutions

• A highly competitive compensation and benefits package.
• A multinational organization with 57 offices in 22 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (Fin Labs) and Center of Excellence groups.
• Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
• A flat and approachable organization.
• A truly diverse, fun-loving, and global work culture.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.