VPII, Data Engineering Manager (Fintech)

Location: Fort Mill/Charlotte, New York, San Diego, or Austin, United States

Pay range: $169,126–$281,808 annual base salary

Company

hirify.global is a U.S. wealth management firm providing investment solutions, fintech tools, advisor affiliation models, and practice management services to financial advisors and institutions.

What you will do

• Set and execute the engineering roadmap for enterprise data orchestration, data observability, batch modernization, and migration to the Data Foundations Platform.
• Lead the end-to-end design, delivery, testing, deployment, reliability, and production support of large-scale data pipelines, databases, platforms, and event-driven workflows.
• Guide architecture decisions, review technical trade-offs, unblock teams, and ensure secure, reliable, scalable, and supportable solutions.
• Modernize legacy patterns across Informatica, SQL Server and stored procedures, .NET, and proprietary technologies, reducing dependency on DIS and LPL SQL.
• Establish standards for data quality, lineage, observability, infrastructure as code, testing, deployment, resiliency, and operations.
• Partner with Product, Architecture, SRE, Quality Engineering, Scrum, and business teams while hiring, coaching, and developing engineering talent.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related quantitative discipline, or equivalent professional experience.
• 10+ years of progressive data engineering or data-platform experience, including at least 5 years leading technical teams and delivery in complex enterprise environments.
• Experience designing and modernizing large-scale data pipelines, databases, and data platforms processing high-volume, business-critical workloads.
• Production experience delivering end-to-end AWS workflows, including infrastructure as code with Terraform and orchestration using Airflow or comparable technologies.
• Experience across modern and legacy data environments, including SQL, relational and NoSQL databases, ETL and batch processing, event-driven architectures, data modeling, lineage, and production support.
• Strong data engineering and platform architecture expertise, technical judgment, execution, roadmap ownership, executive communication, reliability, observability, and operational accountability.

Nice to have

• Experience with AWS Glue, Lambda, EC2, RDS, DynamoDB, S3, API Gateway, Confluent Kafka, and Snowflake.
• Proficiency in Python, Java, SQL, or .NET for architecture discussions, technical designs, and code reviews.
• Experience with domain-driven design and capabilities spanning backend, middleware, and front-end technologies.
• Financial-services or other highly regulated industry experience involving complex data, control, resiliency, and audit requirements.
• Experience modernizing large ETLs and workloads ranging from hundreds of thousands to tens of millions of records per job.

Culture & Benefits

• Full-time leadership role focused on shaping culture, driving performance, and developing employees.
• Benefits include 401(k) matching, health benefits, employee stock options, paid time off, and volunteer time off.
• Role involves collaboration across product, architecture, SRE, quality engineering, Scrum, and business teams.

Hiring process

• Apply by logging in or creating an account; principals only.
• LPL communicates with applicants only from an @lplfinancial.com email address and does not conduct interviews online or in chatroom forums.
• Applicants will not be asked for payment or bank or credit card information during interviews.