Senior Manager, Data Solutions

Job Description

We are at the forefront of transforming the future of technology in the financial industry, and we seek curious, practical individuals to help us pave the way. Our team is not intimidated by taking calculated risks, as they relish a good challenge and are eager to engage in problem-solving. As a member of our team, you will work alongside like‑minded experts in a culture that is deeply rooted in innovation and progression.

Join us to be part of a transformative journey that can shape the industry’s future.

Are you a data engineering leader passionate about building scalable, high‑performance data platforms? Do you have experience leading hybrid teams and driving event‑driven, cloud‑based data engineering solutions in an operationally rigorous environment? If so, we want to talk to you!

We are seeking a Senior Manager of Data Engineering to lead our team responsible for Transaction and Position Master development. This leader will drive event‑driven architecture, establish scalable and automated processes, and ensure data integrity and performance across our AWS‑based platform. This is a hands‑on leadership role where you’ll be responsible for both technical strategy and execution in a high‑impact financial data environment.

This position offers a hybrid work schedule from any of our offices located in Dallas, Tx.

• Lead & Mentor: Manage and develop a hybrid team of onshore and offshore data engineers, fostering a high‑performance engineering culture.
• Architect & Build:
  Lead the design and implementation of batch‑triggered and event‑driven, cloud‑based data pipelines, integrating structured and unstructured data sources.
• Ensure Operational Excellence: Establish and enforce data engineering best practices, including real‑time data streaming, automation, monitoring, and process rigor to support a 24/7 operational environment.
• Optimize Performance & Cost
  :
  Drive efficiency in data storage, processing, and analytics, optimizing Aurora Postgre
  
  SQL, Iceberg, and S3‑based architectures.
• Implement CI/CD & Dev Ops: Develop and maintain automated deployment processes, leveraging Git Hub, CI/CD pipelines, and infrastructure as code (Terraform, Cloud Formation).
• Collaborate Across Teams: Work closely with business stakeholders, data analysts, and application teams to ensure data solutions align with company objectives.
• Leverage AI‑assisted Development Practices:
  Collaborate and lead AI‑assisted development practices (e.g., code generation, automated testing, pipeline validation, and design acceleration) to increase engineering velocity, improve data quality and reduce time‑to‑production.

• 7 years of data engineering experience, with at least 5 years in management, leading and mentoring hybrid onshore/offshore data engineering teams.
• Expertise in AWS Glue, including Glue ETL, Glue Catalog, and Glue workflows for large‑scale data transformation and processing. Python experience a plus.
• Proven expertise in batch‑triggered and event‑driven architectures, including real‑time data processing with services such as AWS Kinesis/Kafka, and Event Bridge/SQS, etc.
• Strong experience with AWS data services, including S3, Glue, Lake Formation, Athena, and Aurora Postgre
  
  SQL and hands‑on experience with CI/CD, Dev Ops, and version control, including Git Hub, Cloud Formation, and AWS Code Pipeline.
• Demonstrated ability to establish well‑formed, high‑performance complex engineering processes, governance, and monitoring frameworks to support a mission‑critical, production environment.
• Hands‑on experience applying AI‑assisted engineering tools (e.g., Git Hub Copilot, MCP or equivalent) to improve code quality, enforce standards, accelerate development cycles, and enhance reliability across large‑scale data engineering platforms.
• 2 to 5 years in the financial industry with experience in the brokerage industry preferred.
• Bachelor’s degree in computer science, Computer Information Systems or related area of expertise.
• AWS Professional Certifications such as AWS Certified Data Analytics or AWS Certified Big Data preferred.
• Financial Industry certifications such as SIE (Securities Industry Essentials) or Series‑99 a plus.

The salary range for this role is $134,000 – $228,000 skill set, years and depth of experience, certifications, and specific office location. Compensation ranges may differ in differing locations due to cost of labor considerations.