Data Platform Engineering Manager

Attributes We Value: We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.

Who you are: We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum Requirements:

• A minimum of 8 years of experience in data or software engineering, with at least 3 years in a leadership or management role.
• Proven experience successfully managing and scaling an engineering team of 10+ people, including managers and senior individual contributors.
• Demonstrated ability to define and execute a technical strategy that led to a significant business outcome or operational improvement.
• Strong command of the data and software engineering domains, with a focus on architecture and strategy.
• Deep understanding of distributed data processing technologies (e.g., Apache Spark, Databricks) and event streaming (e.g., Kafka).
• Solid knowledge of modern data storage and serving technologies, such as CubeJS, ElasticSearch, and Clickhouse, and more.
• Familiarity with observability tooling such as Splunk, Grafana, and Prometheus.

Preferred qualifications:

• Experience within the financial domain.
• Hands-on design experience in crafting data processing patterns for a modern Lakehouse architecture.
• Excellent written and verbal communication skills tailored for diverse audiences (leadership, users, company-wide).
• Ability to rapidly evaluate various technologies and conduct proof of concepts to drive architecture design.
• Experience thriving in a complex environment.