Team Lead - Data Experience

As a Team Lead of our Data Experience team, you will lead a team of Data Engineers who handle the technical work in our firmwide data onboarding process, rapidly ingesting, curating and delivering data for Traders, Quantitative Researchers, and Back-Office business units, consulting closely with individuals to best utilize the firm's data and platform tools. This role encompasses people leadership, technical leadership, project ownership, and hands-on development and support activities., * Lead and mentor a team of data engineers with a variety of skill sets, fostering a culture of excellence, innovation, and continuous improvement.

• Use strong leadership skills in mentoring, coaching, feedback, development, negotiation, and conflict management to enhance team performance and help people have a great experience in their work life.

• Coordinate closely with Data Strategists to efficiently prioritize, deliver, and support datasets and data products across the firm.

• Engage in hands-on software development and support activities, including pair programming.

• Drive project ownership, including defining requirements, scheduling, resource allocation, and ensuring timely delivery of projects.

• Manage a high-velocity backlog of one-off user requests and larger data onboarding projects, balancing work estimates and throughput to meet business targets.

• Engage with stakeholders to understand how to best deploy the data experience team.

• Contribute to process discussions, challenging ideas and actively refining the team's processes to maximize throughput.

• 3+ years of experience leading engineers in a technical environment, with a strong emphasis on mentoring, development, and team management.

• 5+ years of experience working with modern data technologies and/or building data-first products.

• Familiarity with the data modeling practices, storage systems, and compute frameworks common to modern data engineering, with a track record of leveraging this knowledge within a fast-moving data ecosystem.

• Strong communication and interpersonal skills, capable of balancing and negotiating requests across multiple stakeholders.

Desirable Qualifications:

• Experience managing technical roadmaps across projects with multiple milestones.

• History of working in close coordination with Product Managers, translating technical roadblocks, refining processes, and improving delivery.

• Ability to own projects, define requirements, and lead development and support initiatives.

• Experience supporting a large portfolio of data pipelines, rapidly delivering new workflows, and modeling new datasets to maintain consistency across the ecosystem.

• Track record of data governance and data stewardship at scale.

• Experience with alternative data management, acquisition (purchasing, scraping), modeling, or analysis.

• Track record of fostering collaboration and effective teamwork across global locations.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Data Experience team is an important part of DRW's Unified Platform (UP) organization, providing common data engineering capabilities and centralized storage and management for vendor data products used across the firm.