Team Lead, Data Engineering

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 Ecosystem team is an important part of DRW’s Unified Platform (UP) organization, building the platform capabilities, managed infrastructure, and metadata management systems that underpin our common query layer and power thousands of batch and streaming pipelines across DRW.

As a Team Lead of our Data Ecosystem team, you will lead a team of Data Engineers who craft the architecture of DRW’s data platform, establishing data infrastructure, creating metadata management tools, and scaffolding governance processes that accelerate the time to onboard datasets, curate them, and make them available throughout the firm. This role encompasses people leadership, technical leadership, product ownership, and hands-on development and support activities.

Key Responsibilities:

• 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 stakeholders to grow the userbase and deliver high-impact functionality to the data platform.
• Engage in hands-on software development and support activities.
• Drive project ownership, including defining requirements, scheduling, resource allocation, and ensuring timely delivery of projects.
• Consult with other development teams to understand how they engage with the data platform.
• Contribute to process discussions, challenging ideas and actively refining the team’s processes to maximize throughput.

Required Qualifications:

• 5+ 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 building, scaling, and supporting large data platforms, and familiarity with the use cases, modeling techniques, and ergonomics expected by data platform users.
• Experience managing technical roadmaps for platforms with a wide variety of users.
• Familiarity with the common needs of data platform users within financial firms.
• History of balancing feedback from multiple users, translating technical roadblocks, refining processes, and improving delivery.
• Ability to own projects, define requirements, and lead development and support initiatives.
• Excellent problem-solving skills, with the judgment and capacity to deliver data engineering and software engineering artifacts that fit the needs of our users.
• Track record of fostering collaboration and effective teamwork across global locations.

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