Okay, I've searched for Senior Software Engineer positions in New York, NY, centered on data platform development, requiring 5+ years of experience, skills in streaming infrastructure such as Kafka, and offering full-time schedules. I have found 72 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Senior Software Engineer, Data Platform at Brex plays a pivotal role in enabling the company's AI-powered spend platform through robust data infrastructure and seamless data delivery. Fundamentally, this role is tasked with building and maintaining a scalable, resilient data platform that supports a complex, asynchronous ecosystem spanning multiple operation systems and services. The engineer must ensure that data pipelines—from warehousing and analytics to streaming and replication—are reliable, performant, and accessible, powering both internal decision-making and customer-facing products. Success in this role means enabling product teams to innovate rapidly with data at their fingertips, improving operational efficiency, and contributing to a data-driven culture across the company. The candidate must adeptly work across functions, balancing hands-on backend engineering expertise with strategic problem solving and influencing capabilities. The need for expertise in tools like Snowflake, Airflow, Kafka, and programming in Kotlin or Python reflects the technical sophistication and scale, while the emphasis on communication and collaboration signals a cross-team, partnership-driven environment. The role’s operational responsibilities, including on-call rotations, imply ownership of system reliability and responsiveness under pressure. Altogether, this job demands a proactive individual who embraces complexity, champions data as a core asset, and thrives in a fast-paced, innovation-oriented fintech setting.

Company Analysis:

Brex occupies a leading and innovative space within the financial technology sector, positioning itself as a cutting-edge spend platform that integrates corporate cards, banking, payments, and expense management into a unified, AI-driven solution. Serving over 30,000 companies from startups to enterprises, Brex is clearly growth-oriented and focused on scaling its impact globally, which means its engineering teams play critical roles in enabling fast, data-driven product development. The company culture, as described, values pushing boundaries, collaboration with top-tier talent, and diversity and inclusion, suggesting a dynamic and empowering work environment where individual potential is nurtured. For a Senior Software Engineer, this means a workplace that encourages initiative but also expects resilience and adaptability amid complexity and rapid change. Organizationally, this role sits within the Data Enablement Platform team but works broadly across product, data science, and analytics functions, positioning the candidate as a key cross-functional player with substantial influence on how data fuels business outcomes. The hybrid work requirement (2 days onsite in New York) signals a balance between remote flexibility and in-person collaboration. Strategically, the hire supports Brex's ambition to continuously improve its data infrastructure—integral for maintaining competitive advantage in fintech—so this is both a mission-critical and growth-focused opportunity where technical excellence and strategic vision come together.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to collaborate across multiple teams to deliver a complex data infrastructure project. How did you manage different priorities and communication challenges?
• Behavioral: Describe an experience where you identified and resolved a critical data reliability or performance issue that impacted users or product teams. What was your approach?
• Behavioral: How have you contributed to leveling up data or engineering competencies in your previous teams through mentorship or education?
• Behavioral: Share an example of working in a fast-paced or ambiguous environment where requirements changed frequently. How did you adapt and ensure successful delivery?
• Technical: Can you walk me through how you would design and build a data streaming pipeline using Kafka and Flink to support real-time analytics?
• Technical: How do you approach building resilient data pipelines that can handle failures gracefully and ensure operational efficiency?
• Technical: What considerations do you make when choosing between batch and streaming data processing in a large-scale data platform?
• Technical: Describe your experience with tools such as Snowflake, Airflow, dbt, and CDC. How have you integrated these into a data infrastructure?
• Situational: Imagine a product team comes to you requesting a new data source integrated into the platform but the source has inconsistent quality and schema changes frequently. How would you handle this?
• Situational: If you notice increasing latency in a critical data pipeline that powers dashboards for executives, what steps would you take to diagnose and fix the issue while keeping stakeholders informed?
• Situational: You’re on call and receive alerts about failing data workflows overnight. Walk me through your immediate and longer-term response.
• Company Fit/Motivation: What excites you about working at Brex and specifically on the Data Enablement Platform team?
• Company Fit/Motivation: How do your personal values and professional aspirations align with Brex’s mission to empower companies with data-driven spend management?
• Company Fit/Motivation: Brex emphasizes collaboration and diversity. Can you share how you’ve contributed to inclusive team environments in your career?
• Questions for Interviewer: How does the Data Enablement Platform team collaborate day-to-day with product and data science teams here at Brex?
• Questions for Interviewer: What are the biggest data infrastructure challenges Brex anticipates in the next year, and how can someone in this role make an immediate impact?
• Questions for Interviewer: Can you describe the culture around work-life balance and professional growth opportunities for engineers on the NYC team?