AVP Software Engineer, Data Platform Engineering

LPL Financial

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NYFort Mill, SCCharlotte, NC
Salary
$127,100–$211,900 / yr
Posted
13 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k
This role $170k
$115k most similar roles pay here $237k

This role pays less than 65% of similar roles. Most pay $151,000–$214,000 — the shaded band above. At the midpoint, this role pays about $170k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About LPL Financial

LPL Financial is the largest independent broker-dealer in the United States, providing brokerage and investment advisory services to independent financial advisors and financial institutions. Industry: Financial Services & Wealth Management

LPL Financial currently has 59 open roles on FindRole.

Listed pay typically runs $140,959–$234,882 across 54 roles with salary data.

Most-posted roles

View all roles at LPL Financial

At a glance

TL;DR · AVP Software Engineer, Data Platform Engineering

AVP Software Engineer - Data Platform Engineering (Python/AWS) joins the Connectics team to build and scale a strategic data ecosystem. This role focuses on designing and developing scalable Python-based backend services, integration frameworks, and cloud-native applications to facilitate data movement, ingestion, and distribution across the enterprise. The engineer will develop data pipeline frameworks for batch processing, create RESTful APIs, and build monitoring solutions to ensure operational resilience and data quality. Key technologies include Python, AWS serverless tools like Lambda, DynamoDB, API Gateway, EventBridge, SQS, and Step Functions, along with experience in React for user interfaces. The role addresses the technical challenge of providing trusted data assets for downstream consumers, supporting analytics, machine learning, and AI-driven use cases within a modern data platform involving Snowflake, Airflow, or Databricks to solve complex enterprise data integration problems.

What does a Software Engineer earn in New York?

Median $224000 from 203 postings across 41 companies.

See salary data

What you'll do

  • Design and maintain scalable Python-based backend services for enterprise data integration, enrichment, and distribution.
  • Build and enhance data pipeline frameworks to support batch ingestion, transformation, and orchestration.
  • Develop cloud-native applications using AWS serverless technologies like Lambda, DynamoDB, and Step Functions.
  • Create reusable integration patterns to simplify connectivity between source systems and downstream consuming applications.
  • Improve observability, monitoring, and operational resilience across all data pipelines and integration services.
  • Troubleshoot and resolve performance, scalability, and reliability issues within distributed systems and large-scale workloads.
  • Collaborate with Data and AI teams to expose metrics that support machine learning and AI use cases.

What we're looking for

  • Minimum of 7 years of professional software engineering experience including Python backend development and React/modern JavaScript frameworks.
  • Minimum of 5 years designing and building scalable backend services, REST APIs, and distributed systems in enterprise environments.
  • Minimum of 5 years developing cloud-native applications on AWS with production workload experience.
  • Strong expertise in AWS serverless technologies including Lambda, DynamoDB, API Gateway, EventBridge, SQS, and Step Functions.
  • Experience building modern data platform solutions involving batch processing, data integration, ingestion, and distribution pipelines.
  • Proficiency in CI/CD pipelines, automated testing, DevOps practices, and cloud-native delivery models.
  • Familiarity with data platforms such as Snowflake, Airflow, or Databricks to support analytics and machine learning workloads.
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

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