Manager, Data Engineering

Dollar Tree • Chesapeake, VA

6d

About The Position

This is an exciting opportunity to join the Data & Analytics Delivery Organization at Family Dollar. As the company undergoes major transformation, insights derived from data will play a critical role. We are seeking an experienced Data Engineering Manager with deep technical expertise and the ability to be hands‑on. This leader will help transform how Family Dollar leverages internal & external data and ensure structured & unstructured data can be securely and efficiently utilized across the organization. You will collaborate closely with business users, data product owners, platform teams, enterprise architecture, data management, and business intelligence team to build high‑performing, scalable, and maintainable data capabilities using current and emerging cloud technologies. This role is responsible for the design and execution of data engineering initiatives in partnership with the Director of Data Analytics & Reporting. The candidate must be highly collaborative, organized, and effective at communication and problem‑solving. Leadership experience managing individual contributors, contractors, and vendors is essential

Requirements

• Bachelor’s degree or higher.
• 5+ years of experience working with large‑scale, enterprise data sets.
• 2+ years managing full‑time employees, contract partners, or vendor resources.
• Strong curiosity and a passion for identifying new ways to leverage data to creates business value.
• Proven experience delivering end‑to‑end data solutions, with emphasis on enabling self-service analytics across diverse user groups.
• Experience working with end users to gather requirements and translate them into technical solutions from concept through implementation.
• Self‑starter capable of independently delivering outcomes with minimal oversight.
• Hands‑on experience working with structured and unstructured data and modern data technologies—including GCP, BigQuery, Dataflow, Python, etc.

Nice To Haves

• Experience delivering data as a product as plus
• Retail, supply chain, or e‑commerce experience is a plus but not required.

Responsibilities

• Build, lead, and manage the Data Engineering team, driving rapid delivery of data solutions that enhance analytics and insights capabilities.
• Manage 3–5 individual contributors as well as contract and vendor resources.
• Collaborate closely with stakeholders across product, architecture, development, business intelligence, and executive teams.
• Make recommendations for enterprise‑wide data, data onboarding, and self‑service analytics roadmap and architecture.
• Design data pipelines and data models optimized for BigQuery performance, cost control, and reliability
• Provide technical direction and solution guidance to ensure projects enable effective data availability and meet business requirements.
• Serve as an escalation point for issues or roadblocks impacting delivery timelines.
• Stay current on emerging trends and technologies in Data Warehousing and Analytics—particularly within retail.
• Deliver solutions in a fast‑paced, dynamic, and agile environment.
• Initiate proof‑of-concepts (POCs) and prototypes to validate recommendations and test new approaches.
• Act as the subject‑matter expert on data acquisition, ingestion, and information delivery.
• Lead the creation of standards for data quality, lineage, governance, observability, and CI/CD processes across the data engineering organization
• Collaborate with data product owners to define, prioritize, and execute the data engineering roadmap aligned with business objectives
• Coach and mentor engineers, fostering a culture of technical excellence and continuous improvement

Benefits

• We're invested in your health and wellness. That’s why we invest in perks, programs, and resources that help you at every stage of your life and career.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager