Senior Data Quality Engineer - Labor Management Forecasting

Publix Super Markets, Inc., the largest employee-owned company in the U.S., is driven by a dynamic technology team of 2,300+ professionals delivering innovative solutions to 1,400+ stores and 260,000+ associates across 8 states.

From IT security and platform engineering to architecture, software development, and infrastructure, we offer career opportunities at every level - internships through technical leadership.

Join a company consistently ranked among Fortune’s “100 Best Companies to Work For” and help us build more than great subs - build the future of technology at Publix.

Become part of the Labor Management team, designing, building, and delivering a robust application that supports Publix business areas in managing labor activities such as forecasting, time attendance and scheduling. In this role, you will own data processing validation and transformation, build and maintain scalable data pipelines, and manage Azure and on-prem data services.

Location: Hybrid (Lakeland, FL): To support our hybrid work model, candidates must reside, or be willing to relocate, within a commutable distance of Lakeland, FL.
Work Model: Enjoy the best of both worlds - collaborate in person and innovate remotely.
Interview Process: Candidates selected to advance in the interview process will be required to participate in at least one onsite interview at our Lakeland, FL campus.

Why Join Us?

• Hybrid Flexibility: Work remotely when you need focus time and join us onsite for high-impact collaboration and brainstorming sessions.
• Operational Efficiency: Ensure technology solutions support efficient workflows and enable automation to improve operational effectiveness.
• Cutting-Edge AI Projects: Drive innovation in AI platforms, integrating advanced tools and frameworks to solve complex business challenges.
• Empowered Culture: We value autonomy, creativity, and continuous learning - your ideas shape the future of technology in our organization.

Your Impact

• Design and implement secure, scalable ingestion frameworks to migrate data from on prem SQL Server databases into Azure Data Lake using standardized patterns
• Develop and maintain reusable transformation frameworks (e.g., medallion architecture: bronze/silver/gold) to standardize data modeling, improve data reliability, and accelerate downstream analytics and reporting
• Establish data governance, security, and compliance controls across the lakehouse, including data classification, access controls, lineage, and auditing to ensure enterprise and regulatory standards are met
• Design, implement, and monitor data quality events to detect, alert, and resolve data anomalies across pipelines and platforms
• Provide hands-on development, deployment, maintenance, and optimization of data pipelines and workflows using Databricks.
• Collaborate with technical teams and other cross-functional stakeholders to understand requirements, design solutions, and implement them using Databricks' platform.
• Optimize and tune Databricks jobs for performance and scalability.
• Assist technical team through problem determination and resolution on highly complex problems.
• Maintain strong analytical, planning, problem solving, writing, and presentation skills.

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