Senior Lead Software Engineer

Responsibilities

• Lead end-to-end delivery of secure, scalable, resilient, and performant software and data pipelines.
• Drive architecture, product design, technical decisions, and operational processes across multiple teams.
• Develop high-quality code and conduct rigorous reviews focused on maintainability, security, and engineering excellence.
• Establish governance and validation standards for responsible AI-assisted engineering practices.
• Partner with product, data, risk, and operations stakeholders to translate business needs into technical solutions.
• Design analytics-ready data assets, including curated datasets, semantic layers, and metric definitions.
• Optimize distributed processing and data modeling to improve throughput, cost efficiency, and reliability.
• Strengthen observability and data quality through monitoring, alerting, lineage, and measurable service-level outcomes.
• Mentor and coach engineers while raising expectations for engineering rigor and delivery discipline.

Requirements

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• Experience leading the design and delivery of complex cloud-native software or data engineering solutions in production.
• Strong knowledge of data structures, performance tuning, distributed processing, and data modeling patterns.
• Experience building and maintaining analytics-ready data products with quality, consistency, and governance.
• Experience with automated testing and continuous integration and delivery practices.
• Experience guiding teams on safe and compliant use of AI-assisted development tools and validating AI outputs.
• Understanding of secure engineering, data sensitivity handling, and resiliency expectations in enterprise environments.
• Ability to independently solve ambiguous technical problems and influence outcomes through technical leadership.
• Preferred experience with AWS, Microsoft Azure, or Google Cloud Platform; Docker; Kubernetes; Apache Spark; Databricks; Kafka; Airflow; dbt; Delta Lake; Apache Iceberg; Apache Hudi; SQL performance tuning; Terraform; monitoring; alerting; and reliability engineering.

Benefits

• Competitive total rewards package with base salary determined by role, experience, skill set, and location, plus potential commission or discretionary incentive compensation for eligible roles.
• Comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
• Additional compensation and benefits details are provided during the hiring process.