AVP TECH ,Software Development

LPL Financial•Charlotte, NC

About The Position

The Data Distribution and Data Sharing team is evolving its platform into a best-in-class data product, emphasizing scalable architecture, high reliability, and automated subscription and distribution capabilities built on strategic cloud data sources. We are seeking a hands-on Technical Lead to drive these initiatives and lead a group of Developers and Quality Engineers in a fast-paced, high-impact environment. This role combines technical leadership, hands-on development, and team leadership responsibilities, with a primary focus on modern data platform engineering and application integration.

Requirements

Bachelor’s degree in Computer Science or a related field.
10+ years of experience in Information Technology.
5+ years of experience with cloud and data technologies (Snowflake, PostgreSQL, DBT, AWS).
5+ years of ETL experience with Informatica
5+ years experience in SQL server procedures, views, indexes and performance tuning
Strong communication skills with the ability to translate technical concepts into business terms.
Ability to collaborate effectively with cross-functional teams.
Strong organizational and planning skills with a process-oriented mindset.
Adaptability in a fast-paced environment with shifting priorities.
Commitment to quality, performance, and execution excellence.

Nice To Haves

Experience with CI/CD pipelines and tools such as GitHub, Octopus, or similar.
Familiarity with AI/ML technologies.
Experience in the FinTech industry.

Responsibilities

Own the technical vision, architecture, and end-to-end design of the Data Distribution and Data Sharing team, guiding its data product development and evolution.
Establish and maintain SLAs/SLOs for data products serving external customers, with clear accountability for uptime, latency, and data quality.
Continuously evolve and optimize data sourcing strategies to support fast-moving, ever-changing data structures, ensuring the platform consistently leverages the most accurate and strategic sources of truth.
Lead, manage, mentor, and develop a distributed team of onshore and offshore engineers and QA resources.
Foster a culture of accountability, quality, and continuous improvement.
Manage team capacity, resource allocation, and delivery efficiency.
Build and optimize data pipelines and workflows using Snowflake, DBT, and AWS services (S3, Lambda, Glue, Airflow).
Support integration between data platforms and application layers (.NET, Angular).
Design, build and maintain Extract Transform & Load (ETL) processes and design data models.
Create and maintain the technical components of modern, machine-readable data contracts for downstream consumers, ensuring consistency, reliability, and scalability across the data platform.