Senior Backend Data Engineer - Fort Mill

Only for registered members Fort Mill, United States

3 days ago

$106,125 - $176,875 (USD)

What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence. · What if you could have access to cutting-edge resources, a collaborative envir ...

Job description

What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence.

What if you could have access to cutting-edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what's possible with LPL Financial.

Job Overview:

LPL Financial is seeking a Senior Backend Data Engineer to join our Reference Data Master team within the Data & Analytics organization.

This role is ideal for a highly skilled, hands-on engineer with strong expertise in party reference data, cloud-native data platforms, and enterprise data engineering.

You will play a critical role in designing, building, and maintaining scalable party data solutions that support key business initiatives including client onboarding, KYC/AML, regulatory reporting, and operational efficiency.

As a senior engineer, you will work closely with technical leads, architects, and business stakeholders while mentoring junior engineers and contributing to engineering best practices.

The focus of this role will be to build and supporti serverless APIs using AWS API Gateway and AWS Lambda.

Responsibilities

Design, develop, and maintain party reference data services and pipelines supporting clients, counterparties, issuers, and legal entities.
Build and enhance cloud-native data solutions using AWS services such as Glue, Lambda, EventBridge, S3, RDS (Aurora/Postgres), and MSK/Kinesis.
Contribute to modernization efforts by migrating legacy party data systems from on-premise platforms to scalable, cloud-based architectures.

Integrate and manage third-party data providers (e.g., S&P Global Markit, Dun & Bradstreet, KYC/AML vendors) to ensure accurate ingestion, enrichment, and synchronization of party data.

Implement data mastering capabilities including deduplication, survivorship rules, identity resolution, and golden record creation.

Develop and maintain APIs and data services to deliver party data to downstream systems such as CRM, trading, compliance, and reporting platforms.

Ensure data quality, reliability, and lineage through validation frameworks, monitoring, and metadata management.
Build resilient, observable systems with appropriate logging, alerting, and fault-tolerant design patterns.
Collaborate with architecture, security, and governance teams to ensure compliance with data privacy, regulatory, and cybersecurity standards.
Participate actively in Agile delivery processes including backlog refinement, sprint planning, code reviews, and production support.
Mentor junior developers and contribute to coding standards, design reviews, and engineering best practices.

Requirements:

Minimum of 5 years of experience in data engineering or software development with a strong focus on enterprise data platforms.

Experience with AWS services, including Glue, Lambda, EventBridge, S3, RDS (Aurora/Postgres), and MSK/Kinesis.
Experience building data pipelines, APIs, and event-driven architectures.
Experience building APIs using Python on AWS Lambda behind API Gateway.
Experience with data mastering concepts such as identity resolution, source system prioritization, and golden record management.

Technical Competencies

Strong experience developing RESTful APIs in Python.
Solid background working with relational and cloud-native data stores such as Snowflake, Aurora, Postgres, MSSQL, or similar.
Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform preferred), and modern DevOps practices.
Hands-on experience working with party or entity reference data domains, preferred
AWS certification(s) are a plus.

Core Competencies

Strong hands-on engineering mindset with attention to quality and scalability.
Deep understanding of party data concepts and regulatory use cases (KYC, AML, FATCA).
Strong problem-solving skills with the ability to work independently on complex technical challenges.
Effective communication skills and the ability to collaborate across technical and business teams.
Ability to design and implement secure, resilient, and maintainable data solutions.
Motivation to learn, improve systems continuously, and adopt emerging technologies.
Team-oriented approach with a willingness to mentor and support peers.

Pay Range:
$106,125-$176,875/year

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

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

Join LPL Financial:
Where Your Potential Meets Opportunity

At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation's leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services.

Why LPL?

Innovative Environment:
We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here

Limitless Career Potential:
Your career at LPL has no limits, only amazing potential. Learn more about our careers here

Unified Mission:

We are one team on one mission—taking care of our advisors so they can take care of their clients.

Learn more about our mission and values here

Impactful Work:
Our size is just right for you to make a real impact. Learn more here

Commitment to Equality:
We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here

Community Focus:
We care for our communities and encourage our employees to do the same. Learn more here

Benefits and Total Rewards:
Our Total Rewards package goes beyond just compensation and insurance.

It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home.

Learn more here

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:

Job description

Similar jobs

Engineering Data Analyst

Data Engineer III

Healthcare Data Scientist/Engineer

Healthcare Data Scientist/Engineer

Healthcare Data Scientist/Engineer

Data Engineer

Data Engineer

Engineering Data Analyst

Data Engineer

Data Engineer

Machine Learning Data Engineer

Machine Learning Data Engineer

Azure Databricks Engineer/ Architect

Test Engineer

Engineering Manager, Enterprise AI Platform

Data Analyst

Analytics Engineer

Lead Civil Engineer

Mechanical Engineer

Senior Geotechnical Engineer

Product Analysts

Directory

for Recruiters

Information