AVP Data Platform Engineer - Python Backend, AWS, Hybrid

Relha LLC; New York, Northern (NY, KY); Hybrid; USD 127,000 - 212,000; Full time

Job summary

LPL Financial is seeking an AVP Software Engineer in Data Technology to design and scale backend services and data pipelines on AWS. You will build Python-based solutions, improve observability, and collaborate with data, AI, and analytics teams.

The role is hybrid, onsite 2–3 days weekly, with opportunities to shape data products and ensure reliable, scalable data flows for enterprise use.

Qualifications

• 5+ years designing and building scalable backend services, REST APIs, and distributed systems in enterprise environments.
• 5+ years developing cloud-native applications on AWS, with hands-on experience building and supporting production workloads.
• Strong experience with AWS serverless technologies including Lambda, API Gateway, DynamoDB, EventBridge, SQS, and related services.
• Experience building modern data platform solutions, including batch processing, data integration, data ingestion, and enterprise data distribution pipelines.

Responsibilities

• Design, develop, and maintain scalable Python-based backend services supporting enterprise data integration, enrichment, validation, and distribution.
• Build and enhance data pipeline frameworks supporting batch ingestion, transformation, orchestration, and downstream data consumption.
• Develop cloud-native applications leveraging AWS serverless technologies including Lambda, DynamoDB, API Gateway, EventBridge, SQS, and Step Functions.
• Develop reusable integration patterns that simplify connectivity between source systems, data platforms, and consuming applications.
• Improve observability, monitoring, and operational resilience across data pipelines and integration services.
• Leverage AI-assisted development tools and modern engineering practices to improve code quality, productivity, troubleshooting, and documentation.
• Collaborate with Data, AI, and Analytics teams to expose data and metrics that support machine learning and AI-driven use cases.
• Troubleshoot and resolve performance, scalability, and reliability challenges across distributed systems and large-scale data workloads.
• Work closely with stakeholders to understand their specific capabilities and needs and be able to think strategically on how to incorporate new capabilities into the system without creating one-off solutions.
• Be a team player, continue learning and help teach new or junior members of the team.

Skills

Python

AWS

Backend

Data pipelines

REST APIs

CI/CD

React

Education

Bachelor's degree

Tools

AWS Lambda

DynamoDB

API Gateway

EventBridge

SQS

Step Functions

Snowflake

Airflow

Databricks

Job description

LPL Financial is seeking an AVP Software Engineer in Data Technology to design and scale backend services and data pipelines on AWS. You will build Python-based solutions, improve observability, and collaborate with data, AI, and analytics teams.

The role is hybrid, onsite 2–3 days weekly, with opportunities to shape data products and ensure reliable, scalable data flows for enterprise use.