Back
Verified active · 15h ago

Team Lead, Data Engineering

DRWDRW·Financial Services

Apply effort

<60 sec

via Aplyr Quick Apply

Posted

41 days

01

About the role

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.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-TL1]

Skills & Tags

02

Aplyr's read

DRW is a dynamic proprietary trading firm where technology and quantitative research drive innovation across diverse asset classes. Ideal for tech-savvy finance professionals.

Synthesized from recent postings & public sources

What's promising

  • DRW offers a tech-driven environment focusing on quantitative research for trading.
  • The firm provides opportunities in diverse asset classes, including equities and derivatives.
  • DRW is known for hiring skilled engineers and researchers, emphasizing innovation.

What to watch

  • The proprietary trading model may involve high-pressure environments with significant performance expectations.
  • Limited public information about the company's work-life balance and employee satisfaction.
  • The fast-paced nature of trading may not suit everyone, especially those new to finance.

Why DRW

  • DRW integrates cutting-edge technology with trading strategies, setting it apart in the financial sector.
  • The firm actively invests in machine learning and data engineering roles.
  • DRW's focus on diverse asset classes offers varied career paths for specialists.

Aplyr’s read is generated by AI from public sources. Was it useful?

03

About DRW

DRW Trading is a proprietary trading firm that engages in trading across various asset classes, including equities, fixed income, and derivatives. The firm leverages technology and quantitative research to drive its trading strategies.

04

Similar roles