Join a dynamic Supply Chain Data & AI team as a Lead Data Engineer focused on building scalable, cloud-native data solutions that power analytics and decision-making across sourcing, transportation, and warehouse operations. This onsite role offers the opportunity to lead technical design, shape enterprise data products, and collaborate with cross-functional teams to deliver high-quality solutions on Google Cloud Platform.

Responsibilities

• Design and build scalable data pipelines and data products on Google Cloud Platform.
• Develop enterprise solutions using Dataproc, BigQuery, SQL, and dbt.
• Create and maintain data models that support both analytical reporting and operational needs.
• Build efficient ETL/ELT processes to ingest, transform, and publish data from multiple enterprise systems.
• Partner with product managers, business analysts, architects, and stakeholders to translate business needs into technical solutions.
• Lead technical design conversations and review code to support engineering quality and consistency.
• Improve performance, scalability, reliability, and cost efficiency across cloud data platforms.
• Establish monitoring, testing, and operational practices that support production workloads.
• Contribute to reusable frameworks, engineering standards, and documentation.
• Support production issue resolution and ongoing platform improvements.
• Work within Agile teams and participate in sprint planning, estimation, and backlog refinement.
• Mentor team members and help strengthen technical capability across the team.

Skills

• 8+ years of experience in data engineering, including technical leadership on enterprise initiatives.
• Hands-on experience with Google Cloud Platform.
• Expert knowledge of Dataproc, BigQuery, SQL, and dbt.
• Strong understanding of ETL/ELT architecture and large-scale data processing.
• Experience with dimensional modeling, normalized data models, and data warehouse design.
• Ability to build cloud-native data pipelines that are scalable and maintainable.
• Experience with Git, CI/CD pipelines, and engineering best practices.
• Strong troubleshooting, analytical thinking, and problem-solving abilities.
• Clear communication skills with the ability to work effectively across technical and business teams.

Preferred Skills

• Experience with Apache Airflow for workflow orchestration.
• Knowledge of Apache Kafka or similar streaming technologies.
• Working knowledge of PySpark for distributed processing.
• Proficiency in Python for data engineering, automation, or utility development.
• Familiarity with data quality, metadata management, and data governance practices.
• Experience in retail, supply chain, transportation and logistics, warehouse management systems, or distribution center operations.
• Self-directed approach with strong ownership and a focus on delivering high-quality solutions.
• Ability to balance technical excellence with business priorities in a fast-paced environment.

Horizontal is committed to fostering a diverse, equitable, and inclusive workplace where people from all backgrounds feel valued and supported. We welcome candidates who bring different perspectives, experiences, and ideas, and we encourage everyone to apply.