Job Overview :

We are seeking a highly skilled AVP / Tech Lead / Tech Architect to join our Practice Management team. This role is critical to designing and implementing modern, cloud-based data and application capabilities that will transform how compensation processing, data flows, validation, and automation operate across the enterprise.

The ideal candidate will bring strong experience in Python, AWS data pipeline services (Glue, Lambda, EventBridge, RDS, S3), C# (.NET) and distributed workflow design.

Responsibilities :

- Data Engineering & Cloud Architecture : Design and implement business functionalities, APIs using C#, and end-to-end data pipelines to support capabilities like compensation calculations, ingestion, validation, and Fee management.

- Build and maintain ETL/ELT workflows using Python, AWS Glue, Lambda, and Step Functions.

- Develop event-driven workflows leveraging AWS EventBridge, SQS, SNS, and other serverless components.

- Implement data quality, reconciliation, auditing, and monitoring layers to ensure high data integrity.

- Work with relational databases (RDS/Postgres/SQL Server) for modeling, transformations, and performance tuning.

- Application & Platform Engineering : Contribute to application components and microservices supporting compensation workflows. Assist with API design or UI enhancements as needed.

- Engineering Excellence : Partner with product, architecture, QA, and DevOps teams in an Agile environment. Apply CI/CD practices for automation and deployment.

Requirements :

- 8+ years of experience designing and implementing complex systems.

- 5+ years hands-on data engineering experience in transformation-heavy or rules-driven domains.

- Strong Python development skills for ETL/ELT and pipeline orchestration.

- Hands-on experience with AWS cloud services : Glue, Lambda, EventBridge, RDS, S3.

- SQL expertise (stored procedures, indexing, optimization).

- Understanding of enterprise integration patterns, SOA concepts, and system design principles.

Core Competencies :

- Excellent communication, stakeholder management, and cross-team collaboration.

- Strong analytical, problem-solving, and debugging skills.

- Bachelor's degree in Computer Science or related field.