Lead Data Engineer (Warehousing)

Total Wine & More•SSC - MD, MD

7d•$214,650 - $322,020•Onsite

About The Position

Retail Services and Systems, Inc. (dba Total Wine & More) is seeking a Lead Data Engineer (Warehousing) to work at our Bethesda, MD HQ. You will partner with the Data Services leadership team to develop the vision for the next evolution of the Enterprise Data & Analytics Platform. You will also partner with Data Services product owners, data warehouse engineers, data scientists, and BI developers to support and deliver reports, predictive models, datasets, and solutions. You will design and implement improvements to data workflows to improve efficiency and reduce costs, and develop new features to support business requirements. You will design and build data quality testing processes and monitoring of processes to ensure access to quality data for business partners and end users. You will assist with the implementation of data architecture and data governance standards and best practices. You will create and manage batch and real-time data pipelines, including managing and enhancing Kafka and Kubernetes implementations. You will stay informed of new tech and trends to guide optimization and continuous advancement of platforms. You will be proactive and take ownership of projects and tasks. You will coach junior team members and share knowledge with the broader team. You will implement good security practices to handle sensitive information. You may undergo background checks including drug screening.

Requirements

Master's degree in Computer Science, Technology, or related field.
5 years relevant alcohol beverage industry experience in data engineering, data warehousing, data architecture, and data modeling.
Skills (5 years experience) in: GCP environment – BigQuery, Airflow/Cloud Composer, Cloud functions, data loss prevention (DLP), PubSub, and Kubernetes (GKE); SQL and DBMSs; Python; dbt and Kafka data ingestion and transformation tools; data modeling solutions using cloud-native tools; data and analytics platforms – Dev-ops, Docker, CI/CD including GitHub, Cloud Build, Jenkins; Power BI.

Responsibilities

Partner with Data Services leadership team to develop vision for next evolution of Enterprise Data & Analytics Platform.
Partner with Data Services product owners, data warehouse engineers, data scientists, and BI developers to support and deliver reports, predictive models, datasets, and solutions.
Design and implement improvements to data workflows to improve efficiency and reduce costs and develop new features to support business requirements.
Design and build data quality testing processes and monitoring of processes to ensure access to quality data for business partners and end users.
Assist with implementation of data architecture and data governance standards and best practices.
Create and manage batch and real time data pipelines, including managing and enhancing Kafka and Kubernetes implementations.
Stay informed of new tech and trends to guide optimization and continuous advancement of platforms.
Be proactive and take ownership of projects and tasks.
Coach junior team members and share knowledge with broader team.
Implement good security practices to handle sensitive information.
May undergo background checks including drug screening.