AVP, Data Services – Lead Data Engineer

Job summary

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*** to shape your success while helping clients pursue their financial goals.

Benefits

Qualifications

• Minimum of 7 years of experience in data engineering, software development, cloud engineering, or related fields.
• Minimum of 2 years of experience leading projects, mentoring engineers, or serving as a technical lead.
• Experience working with reference data, master data, customer data, legal entity data, or related domains.
• Experience building and supporting cloud-native applications and data platforms.
• Strong SQL and data modeling
• Experience with AWS services including Glue, Lambda, EventBridge, S3, RDS, and MSK/Kafka.
• Experience with Snowflake, Aurora/Postgres, SQL Server, or other relational databases.
• Familiarity with MDM concepts such as identity resolution, survivorship rules, and golden record creation.
• Experience with CI/CD pipelines, Terraform, and DevOps practices.
• Experience working with data quality, governance, and metadata frameworks.
• Financial services, wealth management, banking, or regulatory data experience preferred.
• AWS certifications are a plus

Responsibilities

• Lead the design, development, and support of party reference data applications and services.
• Partner with architects and business stakeholders to implement data solutions supporting client, counterparty, issuer, and legal entity data domains.
• Build and maintain cloud-native data pipelines utilizing AWS services including Glue, Lambda, EventBridge, S3, RDS, and Kafka/MSK.
• Support modernization initiatives by migrating legacy reference data platforms to scalable cloud-based architectures.
• Integrate and manage third-party reference data providers such as Dun & Bradstreet, S&P Global, and other enrichment sources.
• Develop and maintain APIs and data services supporting compliance, CRM, operations, reporting, and trading systems.
• Implement data quality controls, validation frameworks, deduplication processes, and lineage tracking capabilities.
• Collaborate with data governance and architecture teams to support reference data standards and best practices.
• Participate in Agile ceremonies, backlog refinement, estimation, and technical delivery planning using Jira.
• Mentor junior engineers and provide technical guidance across project teams.
• Support platform monitoring, resiliency, performance tuning, observability, and operational excellence initiatives.
• What are we looking for?

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