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Reference Data Management Jobs (NOW HIRING)

SmartIPlace

Technical Data Analyst

Jersey City, NJ · On-site

Strong experience with Master Data Management (MDM) and enterprise data analysis. * Expertise in financial master and reference data domains including Security Master, Account, Benchmark, Client, and ...

Tranzeal Incorporated

SAP BTP Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

... data management strategies. The role involves building the SAP data foundation, producing reference data architectures, and enabling analytics and AI use cases by ensuring data consistency and ...

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Reference Data Management information

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$31K

$97.1K

$172K

How much do reference data management jobs pay per year?

As of Aug 12, 2026, the average yearly pay for reference data management in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in reference data management roles, and how can they be addressed?

Professionals in Reference Data Management often encounter challenges related to maintaining data accuracy, consistency, and completeness across multiple systems. Dealing with legacy systems, data silos, and frequent data updates can make it difficult to ensure data quality. To address these issues, it's essential to implement robust data governance policies, leverage automated data validation tools, and collaborate closely with IT and business teams. Regular training and clear communication channels also help in keeping data standards aligned across the organization.

What are the key skills and qualifications needed to thrive as a reference data management professional?

To thrive in Reference Data Management, you need strong analytical skills, attention to detail, and a background in information systems or business, often with a relevant degree. Familiarity with data management tools such as SQL, data governance platforms, and master data management (MDM) systems, as well as knowledge of industry data standards, is typically required. Excellent communication, problem-solving abilities, and stakeholder management are essential soft skills for ensuring data quality and alignment across departments. These skills are crucial for maintaining accurate, consistent reference data that supports effective business operations and regulatory compliance.

What is the difference between Reference Data Management vs Data Analyst?

AspectReference Data ManagementData Analyst
Primary FocusManaging and maintaining reference data across systemsAnalyzing data to generate insights and reports
Skills & CertificationsData governance, data quality, database managementStatistical analysis, data visualization, SQL, Excel
Work EnvironmentIT departments, data management teamsBusiness units, analytics teams
Industry UsageFinancial services, healthcare, retailMarketing, finance, operations

While Reference Data Management focuses on maintaining consistent reference data across systems, Data Analysts interpret data to support decision-making. Both roles require strong data skills but serve different functions within organizations.

More about Reference Data Management jobs
What cities are hiring for Reference Data Management jobs? Cities with the most Reference Data Management job openings:
What states have the most Reference Data Management jobs? States with the most job openings for Reference Data Management jobs include:
What job categories do people searching Reference Data Management jobs look for? The top searched job categories for Reference Data Management jobs are:
Reference Data Management jobs near you
Infographic showing various Reference Data Management job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

AVP, Data Services - Lead Data Engineer

LPL Financial

Fort Mill, SC • On-site

$119K - $198K/yr

Full-time

Medical, Retirement, PTO

Posted 27 days ago

LPL Financial rating

7.3

Company rating: 7.3 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

123rd of 150 rated financial services

Job description

Where Ambition Meets Innovation
Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you'll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.
Job Overview
LPL Financial is seeking an AVP, Data Services - Reference Data Engineering Lead to join our Data & Analytics organization and support the Reference Data Master team. This role is responsible for designing, developing, and enhancing party reference data solutions that support critical business capabilities including client onboarding, KYC/AML processes, regulatory reporting, operational workflows, and data consumption across the enterprise.
The ideal candidate brings strong hands-on experience in data engineering, reference data management, cloud-native platforms, and Agile delivery. This individual will partner closely with business stakeholders, architects, data governance teams, and engineering teams to deliver scalable, secure, and high-quality reference data services.
Responsibilities
  • Lead the design, development, and support of party reference data applications, APIs, and data services.
  • Partner with business stakeholders, architects, and engineering teams to deliver reference data solutions supporting client, counterparty, issuer, and legal entity domains.
  • Develop and maintain cloud-native data pipelines utilizing AWS services such as Glue, Lambda, EventBridge, S3, RDS, and Kafka/MSK.
  • Support the modernization of legacy reference data platforms through migration to scalable cloud-based solutions.
  • Integrate third-party reference data sources including Dun & Bradstreet, S&P Global, and other data providers to support enrichment, validation, and compliance requirements.
  • Develop and support APIs and data services consumed by CRM, compliance, reporting, operations, and trading platforms.
  • Implement data quality controls, validation rules, matching and deduplication processes, survivorship logic, and lineage tracking capabilities.
  • Collaborate with data governance and architecture teams to support reference data standards, metadata management, and best practices.
  • Participate in Agile planning, backlog refinement, estimation, sprint execution, and delivery activities using Jira.
  • Provide technical leadership and mentorship to junior engineers and project team members.
  • Support platform observability, performance tuning, resiliency, operational excellence, and incident resolution activities.

What Are We Looking For?
We want strong collaborators who can deliver a world-class client experience. We are looking for individuals who thrive in a fast-paced environment, are client-focused, team-oriented, and execute in ways that encourage innovation, accountability, and continuous improvement.
Requirements
  • Minimum of 7 years of experience in data engineering, software engineering, cloud engineering, or related technical disciplines.
  • Minimum of 2 years of experience serving as a technical lead, project lead, or people leader.
  • Experience developing and supporting cloud-native applications, APIs, and data platforms.
  • Experience developing event-driven architectures, data pipelines, and distributed data services.
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related technical field (or equivalent combination of education and relevant work experience).

Core Competencies
  • Strong hands-on engineering and technical problem-solving skills.
  • Ability to collaborate effectively across business and technology teams.
  • Experience delivering scalable, secure, and high-quality data solutions.
  • Understanding of party data, reference data, client data, or regulatory data environments.
  • Strong communication, stakeholder engagement, and delivery execution skills.
  • Ability to balance technical excellence with business priorities.

Preferred Qualifications
  • Experience with Master Data Management (MDM) concepts including identity resolution, entity matching, survivorship rules, and golden record creation.
  • Experience working with reference data, master data, customer data, client data, or legal entity data domains.
  • Experience with AWS services including Glue, Lambda, EventBridge, S3, Aurora/Postgres, RDS, and MSK/Kafka.
  • Experience with Snowflake, Aurora/Postgres, SQL Server, or other cloud-native database platforms.
  • Familiarity with CI/CD pipelines, Infrastructure-as-Code (Terraform), and DevOps practices.
  • Strong SQL, data modeling, and data integration skills.
  • Experience working within Agile delivery environments.
  • Experience supporting data governance, metadata, data quality, and lineage initiatives.
  • Financial services, wealth management, banking, brokerage, or regulatory data experience preferred.
  • AWS certifications are a plus.

Pay Range:
$119,068.00 - $198,378.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!
Company Overview:
LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
For further information about LPL, please visit www.lpl.com.
Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947.
EAC 5.19.26

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