Lead Data Engineer

• Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field.
• 8-10+ years of Data Engineering experience.
• 3+ years in a Lead, Principal, or Senior Data Engineering capacity.
• Expert-level proficiency with Python for data engineering and data processing.
• Strong hands-on experience with Google Cloud Platform (Google Cloud Platform).
• Extensive experience with:
  • BigQuery
  • Dataflow
  • Dataproc / PySpark
  • Cloud Composer (Airflow)
  • Pub/Sub
  • Cloud Storage
• Strong SQL development and data modeling experience.
• Experience building enterprise-scale ETL/ELT pipelines.
• Experience working with large-volume datasets and performance optimization.
• Knowledge of CI/CD, Git, DevOps practices, and automated deployment frameworks.
• Strong communication and stakeholder management skills.
• Ability to work independently and lead technical initiatives from concept through production.

Preferred Qualifications

• Experience with Snowflake, Databricks, or modern lakehouse architectures.
• Experience enabling AI/ML workloads and feature engineering pipelines.
• Knowledge of data governance, data quality frameworks, and regulatory compliance requirements.
• Experience working within large enterprise Agile environments.