Automation Test Lead – Data & Platform Engineering
Summary
Lead test automation for large-scale data platforms, building frameworks for ETL/ELT pipelines, streaming systems, and cloud data infrastructure using Python, DBT, Airflow, Snowflake, Kafka, and AWS.
Mandatory Skills:
- Strong Python (test frameworks, libraries, CLI tools); advanced SQL
- Hands-on DBT, Airflow, Snowflake or similar; ETL/ELT and data modeling
- Great Expectations/Soda; lineage and catalog systems
- Kafka/Kinesis testing; delivery semantics
- Git workflows; CI/CD (Jenkins, GitHub Actions)
- AWS; IaC (Terraform/CloudFormation)
Desired Skills: API contract testing (PACT); basic UI automation; data mesh/data product exposure; Prometheus/Grafana; regulated domain experience (healthcare, life sciences, finance)
Experience: 9+ years in automation/QE; 5+ years building frameworks for data platforms at scale; track record improving reliability/reducing incidents