Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master's degree preferred)8+ years of experience in data engineering, business intelligence, or analytics roles5+ years of hands-on experience with SQL and Python, building and maintaining scalable data pipelines5+ years of experience with cloud-based data platforms (AWS preferred: S3, Lambda, Athena, Aurora, Glue, Redshift)Strong expertise in relational data modeling, database design, and performance optimization (PostgreSQL preferred)Experience mentoring and developing engineers, fostering best practices, code quality, and a culture of continuous improvement. Experience with modern data stack tools such as dbt, Airflow or Dagster, and CI/CD pipelinesProven experience designing and implementing enterprise-scale data architectures and data platformsFamiliarity with infrastructure-as-code (Terraform, CloudFormation) and DevOps best practicesExperience with data governance, data quality frameworks, and observability tools.