Senior Data Engineer: Databricks & Azure Platform Lead

Floor & Decor; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401(k) match

Employee Stock Purchase Plan

Referral Bonus

Medical/Dental/Vision/Life insurance

Paid vacation

Paid holidays

Volunteer time off

Job summary

Floor & Decor is seeking a Senior Data Engineer to shape our data platform and lead the migration from a legacy warehouse to Databricks on Azure. You’ll partner with analytics, engineering, and business teams to deliver trusted data for critical decisions.

Own data pipelines end‑to‑end, mentor engineers, and establish standards for Delta Lake, Python, SQL, Spark, and cloud‑native solutions across the organization.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience preferred.
• 5+ years of Data Engineering experience.
• Experience developing production‑grade data pipelines and cloud-based data solutions.
• Strong proficiency with Python and SQL.
• Experience working with Databricks, Spark, Azure Data Services, or similar cloud data platforms.
• Experience with dimensional modeling, ETL/ELT design, and enterprise data architecture concepts.
• Strong analytical, problem‑solving, and troubleshooting skills.
• Ability to manage multiple priorities and deliver results in a fast‑paced environment.
• Excellent verbal, written, and interpersonal communication skills.
• Experience working in compliance‑sensitive environments such as SOX, PCI, or regulated industries is a plus.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data products within Floor & Decor’s Databricks platform.
• Develop cloud‑native solutions that improve data accessibility, quality, reliability, and business value.
• Partner with stakeholders to gather requirements, define technical solutions, and deliver enterprise data products.
• Build and maintain Delta Lake tables, dimensional models, and curated datasets that support analytics and reporting needs.
• Support migration efforts from SQL Server EDW to Databricks by modernizing legacy workloads and validating business logic.
• Implement data quality controls, monitoring, alerting, and operational support processes.
• Participate in code reviews, technical design discussions, and engineering best practice initiatives.
• Document technical solutions, data models, and operational processes to support long‑term maintainability.
• Mentor junior engineers and contribute to knowledge sharing across the Data Engineering organization.
• Identify opportunities to improve platform performance, reduce technical debt, and increase engineering efficiency.
• Own data products through their full lifecycle, from requirements gathering and development through production support and continuous improvement.

Skills

Python

SQL

Databricks

Spark

Delta Lake

Cloud data engineering

Data modeling

Stakeholder collaboration

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

Azure Data Services

Spark

Job description

Floor & Decor is seeking a Senior Data Engineer to shape our data platform and lead the migration from a legacy warehouse to Databricks on Azure. You’ll partner with analytics, engineering, and business teams to deliver trusted data for critical decisions.

Own data pipelines end‑to‑end, mentor engineers, and establish standards for Delta Lake, Python, SQL, Spark, and cloud‑native solutions across the organization.