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 Data Services 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.

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.

• Hands-on experience working with party or entity reference data domains.

• Experience with data mastering concepts such as identity resolution, source system prioritization, and golden record management.

• Experience building data pipelines, APIs, and event-driven architectures.

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Technical Competencies

• 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.

• 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