Senior Lead Software Engineer - Risk Technology Data Platform & Strategy

What you'll do

• Own platform technical direction and deliver Lakehouse architecture, data pipelines, self-service onboarding, and infrastructure automation.
• Embed governance, security, reliability, and operational practices, including access controls, observability, SLOs, and incident analysis.
• Guide engineering teams, mentor engineers, influence stakeholders, and advance responsible use of AI-assisted engineering tools.

What they ask for

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• Hands-on architecture and delivery of large-scale enterprise data platforms, with production system experience in a regulated environment.
• Advanced proficiency in Python and/or Java (or Scala) and SQL; deep experience with Apache Spark, Databricks (including Unity Catalog), and Delta Lake and/or Apache Iceberg.
• Experience with large-scale data ingestion and integration, AWS cloud-native systems, infrastructure-as-code and CI/CD, data governance and security, platform operations, technical leadership, and enterprise-authorized AI-assisted development.

Nice to have

• Bachelor’s or Master’s degree in a related technical field.
• Financial services risk data or regulatory reporting experience; AWS-native analytics, governed Databricks integration, or self-service data platform experience.

Pay

USD 175,750.00-$260,000.00 base salary

Tools

Databricks, AWS, Spark, Delta Lake, Apache Iceberg, Python, Java, SQL

AI focus

Leads adoption of enterprise-authorized AI-assisted engineering tools and sets validation expectations for correctness, performance, security, and responsible handling of sensitive data.