Principal Domain Architect, M&A

LPL Financial

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Austin, TXFort Mill, SCNew York, NY
Salary
$163,667–$272,847 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k
This role $218k
$133k $288k
below market most similar roles pay here above market

This role pays more than 69% of similar roles. Most pay $165,787–$229,730 — the blue band above. At the midpoint, this role pays about $218k versus about $198k 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 101 open roles on FindRole.

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

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View all roles at LPL Financial

At a glance

TL;DR · Principal Domain Architect, M&A

JOB TITLE: Principal Domain Architect- M&A The Principal Domain Architect- M&A leads the design and analysis of the Enterprise Data Architecture for the merger and acquisition group. This role involves leading technology due diligence, integration strategy, and business transformation initiatives for mergers, acquisitions, divestitures, and strategic partnerships. You will define target-state architectures, manage application portfolio rationalization, and design strategies for customer and regulatory data integration. Key responsibilities include driving cloud modernization, managing large-scale integration programs, and aligning technology platforms with business objectives. Required technical skills include experience with SQL, no-SQL, big data, GraphDB, APIs, Kafka, and streaming solutions. You must possess expertise in AWS and Azure cloud platforms, Master Data Management, and machine learning frameworks. The role solves complex integration risks and accelerates value realization during corporate transactions.

What you'll do

  • Lead end-to-end technology due diligence for mergers, acquisitions, and divestitures to inform investment decisions.
  • Define target-state architectures and integration roadmaps to consolidate business capabilities and technology platforms.
  • Direct cross-functional architecture teams to ensure alignment with enterprise standards and modernization objectives.
  • Perform application portfolio assessments and platform consolidation to eliminate redundancies and reduce costs.
  • Design strategies for integrating customer, financial, and regulatory data while harmonizing business processes.
  • Evaluate cybersecurity and regulatory risks during transaction lifecycles to establish governance frameworks.
  • Drive post-acquisition modernization initiatives including cloud migration, API enablement, and data transformation.
  • Manage large-scale integration programs and multi-year transformation roadmaps to ensure measurable business outcomes.

What we're looking for

  • 10+ years of hands-on design and implementation experience in an enterprise architecture landscape.
  • 5+ years of experience migrating legacy platforms to modern data platforms.
  • 5+ years of experience designing and building SQL, no-SQL, big data, GraphDB, APIs, Kafka, and streaming solutions.
  • 3+ years of experience in application development, middleware, database management, security, or integration.
  • Proficiency in defining current and future state Data Architecture models.
  • In-depth knowledge of AWS (primary) and Azure (secondary) cloud data platforms.
  • At least one cloud certification is required.
  • Experience in DevOps tools, automated deployments, and containerization with at least one industry-recognized tool/framework/certification.
  • Experience migrating monolith on-prem applications to the cloud using Refactoring, Rearchitecting, and Re-platforming approaches.
  • Experience in Master Data Management, Data Marketplace, Data Science Platforms, and Enterprise Analytics solutions.
  • Experience with Neural Networks, machine learning, deep learning, and NLP tools and frameworks.
  • Understanding of agile methods (SAFe) and processes.
  • Previous proven M&A Enterprise Architecture experience (preferred).
  • AWS Certification (preferred).

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