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.
What You'll Do

• 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 PostgreSQL, Iceberg, and S3-based architectures.
• Implement CI/CD & DevOps: Develop and maintain automated deployment processes, leveraging GitHub, CI/CD pipelines, and infrastructure as code (Terraform, CloudFormation).
• 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.

What You Bring

• 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 EventBridge/ SQS, etc..
• Strong experience with AWS data services, including S3, Glue, Lake Formation, Athena, and Aurora PostgreSQL and hands-on experience with CI/CD, DevOps, and version control, including GitHub, CloudFormation, and AWS CodePipeline.
• 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. GitHub 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.

If you're excited about the opportunity to lead and innovate in a high-impact financial data environment, apply today
Compensation
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.

About Us
What we give you in return:
Benefits
Not many teams can say that they support people's dreams coming to life… We happen to do that every day. And as important as we know your career is, we recognize that there's a whole lot more to life. To ensure that our Employees can make the most of their time outside of working hours, we offer a competitive salary and for full-time roles, a benefits package including:

• Inclusive health, dental, vision and life insurance plans built to support diverse lifestyles, offer preventative care, and protect against hardship.
• Easy access to mental health benefits to meet our team members and their families where they are.
• 20+ days of paid time off (PTO), paid holidays, and 2 paid wellness days to give our employees the time they need to stay close with their loved ones, recharge, and give back to their communities.
• 401(k) Savings plan with a generous company contribution (up to 5%), and access to a financial professional to offer our employees the opportunity to plan-ahead for a strong financial future well beyond their working years.
• Paid parental leave to support all team members with birth, adoption, and foster.
• Health Savings and Flexible Spending