Lead Software Engineer

Role overview

Lead a team responsible for delivering and operating a data platform that supports regulatory and compliance workflows. You will turn platform direction and product priorities into engineering plans, guide day-to-day execution, and balance new capabilities with reliability, cost control, and long-term maintainability. The role combines hands-on oversight of data and backend systems with team leadership and operational ownership.

Responsibilities

- Lead delivery planning, sprint execution, and technical quality across data and backend engineering work. - Guide development of ETL/ELT pipelines, Spark or PySpark jobs, Python services, and Node.js and TypeScript workflow services. - Own operational readiness, including on-call practices, runbooks, incident response, root-cause analysis, and remediation. - Manage technical debt alongside feature work, prioritizing reliability, platform sustainability, and cost improvements. - Partner with architecture, product, subject matter, and operations teams to align implementation with platform strategy and compliance needs. - Support engineers through technical direction and delivery leadership.

Requirements

- At least seven years building and operating production data-intensive or backend systems. - Strong hands-on skills in Python, SQL, Airflow, and Spark or PySpark, plus experience with Node.js and TypeScript services. - Experience operating large-scale batch or event-driven pipelines and production workloads on AWS, including S3, RDS/Aurora, EMR, and IAM. - Experience running production services on Kubernetes. - Demonstrated leadership through engineering delivery cycles, incident management, and operational ownership. - Understanding of data modeling, schema evolution, idempotency, and multi-tenant systems; able to work with regulated or compliance-driven data.

Nice to have

- Familiarity with Iceberg, Delta Lake, dbt, data quality or lineage tools, Kafka, Kinesis, or change data capture. - Experience scaling data teams or platforms, or working in financial, tax, accounting, or compliance technology. - Equivalent education, training, and relevant professional experience may be accepted in place of a formal degree.

Benefits and work setup

The source describes collaboration across data, backend, product, and operations functions. It does not specify a location or work arrangement for this role.