AVP Data Warehouse Analyst Lead, Finance

LPL Financial

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Fort Mill, SCCharlotte, NCAustin, TX
Employment
Full-time
Posted
28 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $160k
$112k $203k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$194,100.

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 101 open roles on FindRole.

Listed pay typically runs $122,673–$204,455 across 55 roles with salary data.

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At a glance

TL;DR · AVP Data Warehouse Analyst Lead, Finance

The AVP Data Warehouse Analyst Lead - Finance serves as a critical bridge between business stakeholders and technical teams to deliver enterprise data and analytics solutions. This role involves owning the data product backlog, managing roadmaps, and leading requirements gathering for Finance, Reporting, and Analytics use cases. You will build and maintain scalable ETL/ELT pipelines, define KPI calculations, and manage data lineage while ensuring high-quality reporting. The position requires expertise in Snowflake, AWS cloud technologies including S3, Glue, MWAA, Lambda, and Redshift, as well as advanced SQL, DBT, and dimensional modeling. You will solve complex business problems by translating requirements into performant data structures, supporting cloud migration, and ensuring data governance, security, and operational excellence within a financial services domain.

What you'll do

  • Own and manage the data product roadmap, including delivery backlogs, sprint planning, and release planning.
  • Lead business analysis to gather requirements, create user stories, and define acceptance criteria for data products.
  • Define business rules, KPI calculations, and data lineage requirements using Finance domain expertise.
  • Design and develop enterprise data warehouse solutions using Snowflake and AWS cloud technologies.
  • Build and maintain scalable ETL/ELT pipelines and data transformation frameworks for reporting and analytics.
  • Develop and optimize complex SQL queries, data models, and data warehouse structures.
  • Establish best practices for data quality, governance, security, and operational excellence.
  • Partner with engineering teams to translate business objectives into performant data solutions.

What we're looking for

  • Minimum of 10 years of experience in Data Engineering, Data Warehousing, Analytics Engineering, or Data Architecture.
  • Minimum of 5 years of experience leading business requirements, product ownership, and delivery of enterprise data warehouse or reporting solutions.
  • Advanced SQL development experience including query optimization, performance tuning, troubleshooting, and data validation.
  • Experience designing and implementing scalable ETL/ELT pipelines using AWS cloud technologies and modern data engineering practices.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • Master's degree (preferred).
  • Strong Snowflake experience supporting enterprise data warehouse, reporting, analytics, and business intelligence solutions.
  • Financial Services industry experience (preferred).
  • AWS Certification and/or Snowflake SnowPro Certification (preferred).

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