Vice President, Principal Data Engineer Greater New York City, NY Area + 2 more
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About the Role
Greater New York City, NY Area (On-site)(New York City, New York)
;Greater Charlotte, NC Area (On-site)(Charlotte, North Carolina)
;Greater Charlotte, NC Area (On-site)(Fort Mill, South Carolina)
The Company is in search of a VP, Principal Data Engineer to lead the modernization of the investor experience across its reporting, statements, and letters platforms. The successful candidate will be responsible for providing both strategic and hands-on technical leadership in the design, construction, and enhancement of enterprise-scale data platforms. This role demands the architecting of high-performance data pipelines, real-time streaming solutions, and cloud-native data services, all while establishing engineering standards and best practices to support business growth and operational excellence. The VP, Principal Data Engineer will work closely with business leaders, architects, product teams, and engineering organizations to influence technical strategy, accelerate cloud transformation initiatives, and deliver innovative data capabilities that enhance the investor experience. Applicants must have a minimum of 10 years' experience in designing and developing large-scale ETL/ELT pipelines and data platforms, with a strong focus on AWS, Glue, S3, RDS/Aurora, Snowflake, DBT, and Airflow. A proven track record of at least 8 years in developing data solutions with Python, and 6 years in building event-driven and streaming architectures using Kafka and related technologies is essential. The role requires deep expertise in data engineering, ETL/ELT, and cloud-native platforms, as well as strong analytical, problem-solving, and strategic planning skills. The ideal candidate will have experience in financial services, wealth management, or brokerage organizations, and a background in leading enterprise cloud modernization and data transformation programs. Core competencies include technical leadership, architectural decision-making, and the ability to lead high-performing teams in agile environments.
Functions:
- Data Management/Analytics
- Engineering
Compensation
USD $159,959-$266,564 (salary) per year
About the Company
Profitable broker & financial advisory firm
Industry
Financial Services
Type
Public Company (LPLA)
Age
employees
5001-10,000
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