AVP, Software Development Python AWS/Cloud

At LPL’s Global Capability Center, you’ll find a collaborative culture where your voice matters, integrity guides every decision, and technology fuels progress. Your skills, talents, and ideas will redefine what’s possible. LPL’s success reflects its exceptional employees, who together pursue one noble purpose: empowering financial advisors to deliver personalized advice for all who need it. We’re proud to be expanding and reaching new heights in Hyderabad.

Join us as we create something extraordinary together.

At LPL Financial Global Capability Center, you’ll find a collaborative culture where your voice matters, integrity guides every decision, and technology fuels progress. Your skills, talents, and ideas will redefine what’s possible. LPL’s success reflects its exceptional employees, who together pursue one noble purpose: empowering financial advisors to deliver personalized advice for all who need it. We are proud to expand in Hyderabad.

Join us as we create something extraordinary together.

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. While UI experience can be beneficial, it is not mandatory requirement for this role.

You will work closely with architects, product teams, compensation SMEs, and engineering partners to deliver scalable, resilient, and future‑ready systems that modernize the compensation platform end‑to‑end.

Responsibilities

• Core – Data Engineering & Cloud Architecture - Design and implement business functionalities, APIs using C#, end‑to‑end data pipelines to support capabilities across Practice Management like compensation calculations, ingestion, validation, House holding, Fee management, Advisor Life cycle management and downstream processing. 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 for compensation processes. Work with relational databases (RDS/Postgres/SQL Server) for modeling, transformations, and performance tuning. Integrate cloud data services with compensation rules engines, distribution systems, and downstream consumers
• Application & Platform Engineering (Optional / Nice-to-Have) - Contribute to application components and microservices supporting compensation workflows. Assist with API design or UI enhancements as needed (Angular, JavaScript— optional). Update terraform scripts for AWS environment capabilities as needed.
• Engineering Excellence: Partner with product, architecture, QA, and DevOps teams in an Agile environment. Apply CI/CD practices for automation and deployment of cloud-based data components. Troubleshoot data and workflow issues quickly and effectively. Analyze existing processes and propose improvements to increase transparency, scalability, and automation in compensation processing. Communicate clearly with business stakeholders, compensation SMEs, and technology partners

What We’re Looking For We need collaborators who excel in dynamic, fast‑paced environments and are passionate about transforming legacy systems into scalable, automated, cloud-native platforms. Ideal candidates act with integrity, embrace innovation, and demonstrate ownership in delivering high‑quality solutions.

Requirements

• 8+ years of experience designing and implementing complex systems
• 5+ years hands-on data engineering experience, ideally in transformation‑heavy or rules‑driven domains
• Strong Python development skills for ETL/ELT and pipeline orchestration
• Hands-on experience with AWS cloud services: AWS Glue (ETL jobs, crawlers, transformations), AWS Lambda, EventBridge (event-driven patterns), Amazon RDS, S3 and data lake patterns
• SQL expertise (stored procedures, indexing, optimization). DevOps experience with GitHub, CI/CD, build & deploy pipelines
• Understanding of enterpris…