Manager, Data Engineering

About the role

Apex Fintech Solutions (Apex) powers innovation and the future of digital wealth management by building tech-forward solutions that help simplify, automate, and facilitate access to financial markets for all. Our robust suite of fintech software enables us to support clients such as Stash, Betterment, SoFi, Webull, and eToro, amongst many others; collectively, Apex powers access to the stock market for over 22+ million end customers. At Apex, we are changing how the securities industry operates by reinventing the status quo, which was manual, slow, and accessible only by the ultra-wealthy. We're digitizing and democratizing systems so that everyone has an opportunity to invest. When you're at Apex, you drive this change. You're part of a global team with a clear vision: to be the trusted technology that powers the digital economy. Our offices in Austin, Dallas, Chicago, New York, Portland, Belfast, and Manila are home to over 1,000 employees. Together, we're shaping the future of financial innovation. Embrace change. Solve big. Win together. And be G.R.E.A.T. - grit, results, empathy, accountability, and teamwork - with Apex. We're proud to be recognized for the innovative work we do, the purpose-driven nature of our work, and the collaborative culture we've created. Here are just a few of the many awards we've recently received: Best Places to Work 2026, 2025, 2024, 2023 - Presented by BuiltIn WealthTech of the Year 2025 - Presented by US FinTech Awards The World's Top 250 Fintech Companies 2024 - Presented by CNBC ABOUT THIS ROLE Job Summary: Apex Fintech Solutions is seeking a Manager, Data Engineering to lead our Data Lake team. This team owns the foundational data infrastructure that powers analytics, reporting, and real-time data processing across our platform, supporting all trading and operational data for Apex Fintech Solutions. You will play a pivotal role in leading this team while collaborating with cross-functional engineering teams and stakeholders to deliver cutting-edge data solutions that shape the future of our industry. This is not just a people management role; it's an opportunity to lead with vision, technical expertise, and strategic thinking in a fast-paced fintech environment. You will be at the forefront of our data platform initiatives, ensuring that our solutions not only meet but exceed our stakeholders' expectations for scalability, reliability, and performance. In this role, you will have the unique opportunity to wear multiple hats from strategic planning and architecture design to hands-on execution of data engineering initiatives, working with highly talented engineers and empowering your team to make a significant impact on our delivery outcomes and company growth. Your leadership will inspire collaboration, drive innovation, and create a teaching and learning culture of excellence that resonates throughout the organization. We're looking for someone who isn't afraid to say "I don't know" when faced with complex challenges, but who leans into those challenges with a problem-solver mindset to find solutions that have never been done before. Duties/Responsibilities: Lead and manage the Data Lake engineering team, driving technical initiatives from conception to production while ensuring alignment with business objectives, platform scalability requirements, and delivery timelines Partner with cross-functional stakeholders including product managers, data scientists, and business leaders to define scope, objectives, and technical deliverables throughout the data platform lifecycle Build and mentor a high-performing team of data engineers, fostering a teaching and learning culture where continuous improvement, technical excellence, and ownership are core values Facilitate Agile ceremonies including sprint planning, retrospectives, and PI Planning, promoting iterative development and team collaboration while maintaining focus on delivering measurable outcomes Own the technical strategy and architecture for our data lake infrastructure, making hands-on contributions to design scalable solutions for data ingestion, storage, and real-time processing that support our business growth Identify and proactively mitigate technical and operational risks, addressing issues before they impact delivery while maintaining transparency with stakeholders through clear communication and regular reporting Coordinate resource allocation and work prioritization across multiple initiatives, balancing team capacity with competing demands to ensure optimal delivery of platform capabilities Establish and enforce data engineering best practices, governance standards, and security protocols, ensuring we do things the right way without cutting corners on quality or compliance Required Skills/Abilities: Deep technical proficiency in cloud-based systems (GCP preferred), including BigQuery, Snowflake, Cloud Storage, and experience building scalable data lake architectures and mic