Data platform Manager

This is a contract position based in Reading, Pennsylvania, supporting a new strategic initiative focused on greenfield development of a premium SaaS fleet management platform. The role is part of a dedicated cross-functional team and offers the opportunity to establish data engineering discipline, provide technical direction, and help shape the engineering organization as it grows.

Responsibilities

• Design, build, and manage production ETL/ELT data pipelines, including data integration, monitoring, and data quality assurance
• Lead and mentor data engineers, driving technical decisions and communicating effectively with business and technical stakeholders
• Establish data engineering best practices and discipline within a developing engineering organization
• Take initiative in providing technical direction and working independently on strategic data platform initiatives
• Support and lead additional team members as the organization scales
• Design and implement scalable data architecture, data warehouse solutions, and data modeling approaches
• Implement workflow orchestration, CI/CD practices, and automated data pipeline deployment

Qualifications

• Required
• 5+ years of hands-on experience designing, building, and managing production ETL/ELT data pipelines
• Experience leading, mentoring, or managing data engineers
• Hands-on experience with Snowflake and AWS data infrastructure (S3, EMR, distributed data processing)
• Strong SQL skills, including query optimization
• Proficiency in Python and PySpark for large-scale data processing
• Experience with data warehouse design, data modeling, and distributed processing
• Experience with Apache Airflow or similar orchestration tools
• Knowledge of CI/CD, DevOps, and automated data pipeline deployment
• Preferred
• Kafka, streaming data, and Change Data Capture (CDC) experience
• PostgreSQL or other relational database expertise
• Data observability and monitoring tools (Dynatrace, Prometheus, Grafana, ELK)
• ML/AI data pipeline support and feature engineering
• Docker, Kubernetes, or OpenShift experience
• SnowPro or AWS certifications