- 10+ years experience, with 3+ years in a technical leadership role.

- Lead the design and implementation of scalable data pipelines for ingesting, transforming, and activating customer data.

- Develop and orchestrate workflows using Apache Airflow and Spark.

- Leverage AWS services (e.g., S3, Glue, Athena, Redshift, EMR) to manage and optimize large scale data infrastructure.

- Write robust, modular, and testable code in Python to support data engineering use cases.

- Experience developing or supporting AI-powered solutions is a strong plus.

- Expert-level skills in SQL for data modeling, transformation, and analysis.

- Hands-on experience with Snowflake, Redshift, and traditional data warehousing principles (star/snowflake schema, performance tuning, etc.)

- Familiarity with real-time data streaming (Kafka) and event-based architectures.

- Implement and manage CI/CD pipelines for data applications and infrastructure.

- Exposure to CDPs (Customer Data Platforms) or Marketing Tech Platforms is a plus

- Strong sense of urgency and ability to drive change.

- Experience in agile methodologies (Scrum/Kanban/SAFE) and project management discipline.

- Strong interpersonal and communication (written and verbal) skills.

- Bachelors degree in computer science or related field.

- Experience in Retail is plus.