Principal Data Architect

LPL Financial

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Work type
On-site
Location
Fort Mill, SCCharlotte, NCNew York, NYAustin, TX
Employment
Full-time
Posted
77 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $199k
$130k $272k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $171,871–$227,000.

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 · Principal Data Architect

JOB TITLE: Principal Data Architect The Principal Data Architect joins the enterprise architecture team to define and lead the data architecture strategy for cloud-native platforms and systems of record. This role involves creating modernization roadmaps, establishing architectural standards, and designing scalable, secure, and resilient data solutions. The architect will build cloud-native data platforms using AWS services, implementing Lakehouse architectures with Apache Iceberg and Delta Lake. Key responsibilities include driving Data Mesh principles, managing metadata, lineage, and governance, and designing multi-region architectures for disaster recovery. The position requires expertise in domain-driven design, event-driven architecture, and enterprise security including IAM and encryption. The role solves complex technical problems regarding data integrity, auditability, and real-time processing within a regulated financial services environment, ensuring trusted data assets support digital transformation.

What you'll do

  • Define and drive the enterprise data architecture strategy, roadmaps, and target-state blueprints.
  • Design and implement cloud-native data platforms using AWS services and Lakehouse architectures.
  • Establish architectural standards for data domains, metadata management, data catalogs, and lineage.
  • Architect scalable data ingestion, processing, and storage patterns for batch and streaming workloads.
  • Define strategies for data ownership, integrity, auditability, and enterprise data governance.
  • Design secure data platforms featuring encryption, authentication, and fine-grained access controls.
  • Build highly available, multi-region cloud architectures to support disaster recovery and business continuity.
  • Mentor architects and engineers on modern data architecture principles and cloud-native design patterns.

What we're looking for

  • 10+ years of experience in Data Architecture, Enterprise Architecture, or large-scale data platform engineering.
  • 10+ years of strong expertise in AWS cloud services and platform architecture.
  • 5+ years of experience with Data Lakes, Data Warehouses, Lakehouse architectures, and modern distributed data platforms.
  • 10+ years of experience with domain-driven design, event-driven architecture, and enterprise integration patterns.
  • 5+ years of experience with enterprise security architectures including IAM, authentication, authorization, encryption, and data protection.
  • AWS Solutions Architect Professional, AWS Data Engineer, or related cloud certifications (preferred).
  • Experience with AWS DataZone, Lake Formation, Glue Data Catalog, Athena, EMR, Redshift, and S3-based data platforms (preferred).
  • Experience in financial services, wealth management, brokerage, banking, insurance, or other regulated industries (preferred).

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