Sr Engineer, Data

LPL Financial is seeking a Senior Data Engineer to join our 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 developer, you will work closely with technical leads, architects, and business stakeholders while mentoring junior engineers and contributing to engineering best practices.

Key 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.

Qualifications

• 7+ years of experience in data engineering or software development with a strong focus on enterprise data platforms.
• Hands-on experience working with party or entity reference data domains.
• Strong proficiency with AWS services, including Glue, Lambda, EventBridge, S3, RDS (Aurora/Postgres), and MSK/Kinesis.
• Experience with data mastering concepts such as identity resolution, source system prioritization, and golden record management.
• Solid background working with relational and cloud-native data stores such as Snowflake, Aurora, Postgres, MSSQL, or similar.
• Experience building data pipelines, APIs, and event-driven architectures. (Using Python preferred).
• Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform preferred), and modern DevOps practices.
• 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.
• 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).
• 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