Lead Software Engineer, Java & Kafka

at  MarketAxess Holdings

Company Description
MarketAxess is on a journey to digitally transform one of the world’s largest financial markets, enabling the shift from analog, phone-based trading to a fully electronic marketplace. Why does this matter? Because our platform makes trading fixed-income more accessible, ultimately improving transparency, efficiency, and competition in the marketplace. Changing the way an established industry transacts is no easy feat. There will be twists and turns, because no one’s ever done this before. But now, more than 2,000 clients around the world rely on our solutions, and that number is only expected to grow in the years ahead. We know where we’re going. How we get there is up to us. Join us and help Take Us There.

We are seeking a hands-on Lead Software Enginner to join our Data and Analytics Platform team who has a passion and prior expertise in building a next-gen cloud based, streaming, data mesh that enables teams to create products at scale and power our application modernization plans.
Decentralized data is the future and Data mesh is the way we are going to make it a reality. We envision a future where data is treated as a product, distributed ownership fosters innovation, and domain-oriented decentralized data infrastructure fuels agility and collaboration. A Streaming Data Mesh enables our data to become a strategic asset.
Well-defined data domains and business ownership will be first-class concerns. We will embrace platform thinking to empower users and each domain with self-serve data infrastructure, treating Data Domains as Products. This strategic shift will alleviate the burden on a central data engineering team and cultivate a culture of data ownership, stewardship, and clear accountability. The experience of creating, sharing, discovering, and using data, to be connected, fast, and trusted based on the Data Mesh pillars of Data Ownership, Data as a product, Self-service, and Federated governance.
We embrace a culture of collaboration and experimentation while striving and encouraging all team members to focus on continuous improvement and learning. We openly welcome diverse perspectives and people who are not afraid to challenge assumptions and prior ways of working. Otherwise, how do we innovate, learn, and grow as a team and individuals?