What if you could build a career where ambition meets innovation?

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.

Job Overview:

We are seeking a highly skilled Senior Engineer / Tech Lead to join our Compensation Transformation Program. 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), and distributed workflow design. While UI or .NET experience can be beneficial, those are not mandatory requirements 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 end‑to‑end data pipelines to support compensation calculations, ingestion, validation, 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, .NET — optional)

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 are we looking for?

We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

Requirements:

Data Engineering & Cloud (Primary 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

• Strong SQL expertise (stored procedures, indexing, optimization)

• DevOps experience with GitHub, CI/CD, build & deploy pipelines

• Strong understanding of enterprise integration patterns, SOA concepts, and system design principles

Optional / Nice-to-Have (Not Hard Requirements)

• Experience with .NET, C#, JavaScript, Angular, or Web API development

• Experience with Snowflake or other modern cloud data warehouses

• Experience with Jira, TeamCity, Octopus

• Experience developing systems related to compensation, payroll, financial calculations, or rules‑driven engines

Soft Skills & Competencies

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

• Strong analytical, problem‑solving, and debugging skills

• Ability to troubleshoot production issues under tight timelines

• Self-driven, innovative, and quick learner

• Bachelor’s degree in Computer Science or related field

Preferences:

• Experience writing unit tests using any of these technologies VS Tests, NUnit, JUnit, MUnit, Jasmin/Karma is a plus

• Snowflake experience

• Team City, Octopus, Jira

• Hands on experience implementing self-service portals

• Experience developing customer service applications

• Knowledge of estimation, tools and principles

• Exposure to Cloud based application design and implementation

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