VP of Data-Driven Software Engineering

United States Digital Space LLC; United States; Hybrid; USD 203,000 - 284,000; Full time

Benefits offered by this job

Retirement benefits

Education reimbursement

Well-being resources

Family support

Flexible Time Off

Job summary

Preqin is seeking a data-savvy vice president software engineer to build scalable, production-grade data platforms. You will lead hands-on technical work while managing a team of engineers, translating product priorities into reliable solutions for researchers and institutional investors.

You will drive architecture, ensure reliability, and partner with product, analytics, and business stakeholders to deliver high-impact data products and AI/ML workflows in a cloud environment across AWS or

Qualifications

• Design, build and operate scalable data-processing systems.
• Experience with Python, SQL and modern data platforms.
• Experience in cloud environments (AWS or Azure) and IaC.

Responsibilities

• Architect, build, and own scalable software solutions end-to-end.
• Design reproducible data workflows for analytics and AI/ML use cases.
• Lead architectural decisions and influence prioritisation.
• Act as technical authority, elevating standards in data management and cloud-native development.
• Engage senior stakeholders and translate trade-offs to business terms.
• Collaborate cross-functionally to deliver high-impact data products.

Skills

Python

SQL

Data platforms

CI/CD

Containerisation

Infrastructure as Code

AI/ML workflows

Cloud (AWS/Azure)

Data validation

Leadership

Tools

CI/CD tooling

Docker/Kubernetes

Terraform / IaC

Job description

Preqin is seeking a data-savvy vice president software engineer to build scalable, production-grade data platforms. You will lead hands-on technical work while managing a team of engineers, translating product priorities into reliable solutions for researchers and institutional investors.

You will drive architecture, ensure reliability, and partner with product, analytics, and business stakeholders to deliver high-impact data products and AI/ML workflows in a cloud environment across AWS or