Numerix
Numerix
Numerix is a financial technology company focused on quantitative analytics for banking, trading, and capital markets. Its solutions support key stages of the trade lifecycle, including derivatives and structured finance analysis, risk management, trading, and quantitative research. Founded in 1996, Numerix combines financial expertise with technology to help market participants evaluate complexity and make more informed decisions.

Lead Software Developer, Data Platforms at Numerix (Hybrid - Singapore)

Lead the architecture and development of Snowflake data platforms, databases, and AI-enabled analytics for Numerix financial technology products. Work across Java, Python, AWS, and enterprise data architecture to deliver scalable, reliable platform capabilities.

Description

  • Lead the architecture and evolution of Oneview’s data platform, establishing standards for storage, integration, analytics, and governance.
  • Implement Snowflake solutions supporting reporting, analytics, AI-enabled data products, and enterprise data warehousing.
  • Own database architecture, performance tuning, operational reliability, and cost optimization across Snowflake, PostgreSQL, and SQL Server.
  • Design and maintain scalable data ingestion, transformation, and integration pipelines.
  • Advance analytics and self-service reporting through semantic models, BI integrations, and Snowflake Cortex capabilities.
  • Collaborate with backend engineers on Java services, APIs, and distributed systems.
  • Contribute to cloud-native platform development with AWS and modern DevOps practices.
  • Build Python solutions for automation, data processing, orchestration, and platform tooling.
  • Work with architects, product owners, and stakeholders to shape scalable, long-term technical solutions.
  • Promote consistent engineering standards and operational excellence across teams.

Requirements

  • Bachelor’s degree in computer science, software engineering, or a related discipline.
  • At least 10 years of experience developing enterprise-scale software applications and platforms.
  • A track record of leading complex technical initiatives with limited supervision.
  • Advanced SQL Server or PostgreSQL expertise, including query optimization and performance tuning for transactional systems.
  • Hands-on experience designing, implementing, and operating Snowflake data platforms in production.
  • Strong knowledge of data engineering, data warehousing, dimensional modeling, and OLAP concepts.
  • Familiarity with BI and analytics platforms such as Sigma, Power BI, Tableau, or comparable tools.
  • Experience with Snowflake Cortex features, including semantic views, AI/ML capabilities, agents, or AI-powered data products, is highly desirable.
  • Strong Java development experience with Spring Boot, Hibernate/JPA, REST APIs, and microservice architectures.
  • Strong AWS experience spanning EC2, S3, Lambda, Step Functions, and infrastructure-as-code solutions.
  • Strong Python skills for automation, orchestration, and data engineering workloads.
  • Understanding of distributed systems, event-driven design, and messaging platforms such as Kafka.
  • Practical experience applying AI tools to improve software development workflows.
  • Strong communication, mentoring, and stakeholder management abilities.
  • Ability to influence technical direction beyond an immediate team and promote engineering best practices.

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