Senior Lead Software Data Engineer – Corporate Know Your Customer

Overview

In this role, you drive secure, scalable software for data-intensive platforms within the Global KYC and Risk Assessment Data Platform. You lead multiple teams, set architecture and engineering standards, and deliver high-impact solutions that support the firm’s portfolios. You shape the technology landscape and foster a culture of excellence through innovative methods. You collaborate with cross-functional partners to translate business needs into robust technical outcomes.

Pay / Benefits

• comprehensive health care coverage
• retirement savings plan
• tuition reimbursement
• mental health support
• on-site health and wellness centers
• backup childcare

Responsibilities

• Develop secure, high-quality production code for data-intensive applications and platforms
• Mentor and review work of other engineers to promote best practices
• Create durable, reusable software frameworks and patterns leveraged across teams
• Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls
• Establish engineering standards for LLM-based applications, ensuring safety and reproducibility
• Drive adoption of advanced technical methods and industry-aligned product development practice
• Advise cross-functional teams on technological matters within your domain
• Apply knowledge of tools within the Software Development Life Cycle to enhance automation value
• Collaborate with colleagues across the organization to deliver impactful solutions
• Lead architectural decisions and engineering practices for scalable software
• Foster a culture of innovation and continuous improvement

Key requirements

• Practical experience delivering system design, application development, testing, and operational stability at enterprise scale
• Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments
• Proficiency in one or more programming languages, particularly Python and/or PySpark
• Advanced knowledge of software application development and technical processes in disciplines such as cloud, AI/ML, or data engineering
• Experience in large-scale data processing, microservices, API design, and orchestration frameworks
• Working knowledge of relational and NoSQL databases, vector stores, and data lake architectures
• Familiarity with observability tools and frameworks
• Practical cloud-native experience (AWS, Azure, or GCP)
• Ability to communicate effectively with senior leaders and executives
• Commitment to inclusive, collaborative teamwork
• Strong problem-solving and analytical skills

• Collaborative mindset
• Strong communication with executives
• Mentorship and leadership
• Python
• PySpark
• Cloud (AWS/Azure/GCP)

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