Sr Software Engineer - Enterprise Data Platform & Customer Data Platform

At Five Below our growth is a result of the people who embrace our purpose: We know life is way better when you are free to Let Go & Have Fun in an amazing experience, filled with unlimited possibilities, priced so low, you can always say yes to the newest, coolest stuff! Just ask any of our over 20,000 associates who work at Five Below and they’ll tell you there’s no other place like it. It all starts with our purpose and then, The Five Below Way, which is our values and behaviors that each and every associate believes in.

It’s all about culture at Five Below, making this a place that can inspire you as much as you inspire us with big ideas, super energy, passion, and the ability to make the workplace a WOWplace!

BRAND DESCRIPTION: 

At Five Below our growth is a result of the people who embrace our purpose: We know life is way better when you are free to Let Go & Have Fun in an amazing experience, filled with unlimited possibilities, priced so low, you can always say yes to the newest, coolest stuff! Just ask any of our over 20,000 associates who work at Five Below and they’ll tell you there’s no other place like it. It all starts with our purpose and then, The Five Below Way, which is our values and behaviors that each and every associate believes in. 

It’s all about culture at Five Below, making this a place that can inspire you as much as you inspire us with big ideas, super energy, passion, and the ability to make the workplace a WOWplace! 

Position Overview 
We are seeking a Senior Software Data Engineer to lead the design, development, and optimization of our Enterprise Data Platform (EDP) and Customer Data Platform (CDP) using Azure and Azure Databricks.  
This role will architect metadata-driven data solutions, lead a team of data engineers, and collaborate with cross-functional stakeholders to deliver scalable, secure, and efficient data infrastructure.  
The Senior Data Engineer will take a holistic approach, ensuring data pipelines, governance, and analytics align with enterprise and customer-centric objectives in an Azure environment. 

Key Responsibilities 

Leadership: Mentor and lead a team of data engineers, fostering innovation, collaboration, and technical excellence while overseeing project delivery and resource allocation. 
Enterprise Data Platform Development: Architect and maintain a robust EDP on Azure to centralize data assets, enabling enterprise-wide analytics, reporting, and insights generation. 
Customer Data Platform Development: Design and implement a CDP on Azure to unify customer data, enabling personalized experiences, segmentation, and advanced analytics. 
Metadata-Driven Frameworks: Build scalable, metadata-driven frameworks in Azure Databricks for data ingestion, transformation, and orchestration, ensuring flexibility and reusability. 
Data Pipelines: Develop and optimize end-to-end data pipelines using Azure Databricks, Spark, and Apache Kafka for batch and real-time processing to support EDP and CDP use cases. 
Azure Cloud Integration: Deploy and manage cloud-native data solutions on Azure, integrating seamlessly with Azure Databricks, Azure Data Lake Storage and other Azure services. 
Data Governance & Compliance: Implement metadata management, data cataloging, and lineage tracking using Databricks Catalog to ensure data quality, security, and regulatory compliance (e.g., GDPR, CCPA). 
Database Management: Design and manage scalable databases (e.g., lakebase) for efficient storage, retrieval, and querying of enterprise and customer data. 
Orchestration: Leverage Apache Airflow Workflows to orchestrate complex data pipelines reliably and at scale.