Principle Data Engineer
📍 Atlanta, GA (Hybrid)
💼 Full-Time (FTE)
🏢 Floor & Decor
About the Role
We are seeking a highly skilled Senior Data Engineer to join our growing Data Engineering team. This is a hands-on engineering role focused on building and delivering scalable data products within a modern cloud-based data platform using Databricks on Azure. The ideal candidate will have strong expertise in PySpark, Python, SQL, Delta Lake, and Azure Data Services, with experience developing production-grade data pipelines and supporting enterprise analytics initiatives.
This role offers the opportunity to work on cloud-first data engineering initiatives while supporting a strategic migration from legacy SQL Server data warehouse environments to a modern lakehouse architecture.
Responsibilities
✅ Design, build, and maintain scalable data pipelines using Databricks, PySpark, Spark SQL, and Delta Lake
✅ Develop and support data products following Medallion Architecture (Bronze/Silver/Gold)
✅ Build and maintain SCD Type 1 & Type 2 data models and dimensional data warehouse solutions
✅ Create and optimize ETL/ELT workflows using Azure Data Factory and Databricks Jobs
✅ Implement data quality checks, monitoring, alerting, and operational support processes
✅ Collaborate with business stakeholders across Finance, Supply Chain, Merchandising, Marketing, and Operations
✅ Support legacy SQL Server and SSIS workloads during migration initiatives
✅ Participate in code reviews, CI/CD deployments, testing, documentation, and production support
✅ Contribute to engineering best practices, reusable frameworks, and technical mentoring
Required Skills & Experience
✔ 5+ years of Data Engineering experience
✔ 2+ years working with cloud-based data platforms (Databricks preferred)
✔ Strong experience with:
- Databricks
- PySpark
- Spark SQL
- Python
- Delta Lake
- Azure Data Factory
- Azure Data Lake Storage Gen2
- Azure DevOps
- SQL Server / T-SQL
✔ Expertise in:
- Data Modeling
- Star Schema Design
- SCD Type 1 & Type 2
- ETL/ELT Development
- Data Warehousing
- CI/CD Practices
- Git Version Control
✔ Experience building and supporting production-grade data pipelines
✔ Strong problem-solving, communication, and stakeholder management skills
Preferred Qualifications
⭐ Databricks Data Engineer Certification
⭐ Experience with dbt
⭐ Familiarity with Apache Airflow
⭐ Retail, Supply Chain, Merchandising, or ERP domain experience
⭐ Experience with Data Governance, Metadata Management, and Data Lineage
⭐ Bachelor''s Degree in Computer Science, Information Systems, or related field
What We''re Looking For
- Ownership mentality and strong delivery focus
- Ability to independently take requirements from design to production
- Passion for cloud technologies and modern data platforms
- Strong collaboration and communication skills
- Experience working in compliance-sensitive environments (SOX, PCI, etc.)
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