Lead Software Engineer - Databricks/Snowflake/AWS

What you'll do

• Design, develop, troubleshoot, and operate production software and data solutions, including Snowflake data models and Python/Databricks/Spark ETL pipelines.
• Lead data and platform migrations, API-driven development, deployment automation, and analysis of datasets to support reporting and application improvement.
• Guide junior engineers and promote responsible, validated use of enterprise-authorized AI-assisted engineering tools.

What they ask for

• Formal training or certification in software/data engineering concepts and 5+ years of applied experience.
• Hands-on experience across system design, application development, testing, operational stability, and statistical data analysis.
• Significant data and platform migration experience; advanced skills in at least one programming language/framework and proficiency across the software development lifecycle.
• Experience leading responsible use of approved AI-assisted development tools, API-driven development on AWS, and cloud-native services including ECS, Lambda, and API Gateway.

Nice to have

• Familiarity with modern data engineering technologies.
• Exposure to cloud technologies such as AWS.

Tools

Python 3, Snowflake, Databricks, Spark, SQL, NoSQL, Terraform, AWS ECS, API Gateway, AWS Lambda

AI focus

Leads adoption of enterprise-authorized AI-assisted engineering for coding, code review, refactoring, testing, and troubleshooting; establishes validation practices for correctness, performance, security, and responsible handling of sensitive data.