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Data Architect - Technology Architecture

Job in Lakeland, Polk County, Florida, 33809, USA
Listing for: Publix Super Markets
Full Time position
Listed on 2026-07-10
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 110000 - 170000 USD Yearly USD 110000.00 170000.00 YEAR
Job Description & How to Apply Below

Job Description

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 200,000+ 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.

We’re hiring a Data Architect to join our Technology Architecture team. In this role, you’ll partner with cross‑functional teams to define strategy, develop standards, and implement data technologies. This role is a high impact, hands‑on position in enabling data solutions.

Location:

Hybrid (Lakeland, FL) – Work Model:
Enjoy the best of both worlds—collaborate in person and innovate remotely.

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
  • Develop and deliver long‑term strategic goals for enterprise‑wide data architectural vision and standards across a diverse organization.
  • Responsible for the architecture and design of unstructured and structured big data analytic and processing platforms.
  • Research existing and new features of databases and data store technologies to develop implementation strategies to support modern workloads.
  • Design strategies and set standards for corporate Business Intelligence (BI) reporting, analysis, and tools management.
  • Design strategies and set standards for data pipelines that include real‑time, micro‑batch, and batch scenarios.
  • Research existing and new features of BI tools to develop implementation strategies to provide agile BI reporting and self‑service BI to business users.
  • Create and maintain conceptual, logical, and physical data models along with corresponding metadata.
  • Create and maintain the standards, guidelines, and best practices for data modeling and database design.
  • Collaborate with business users and Enterprise Data Warehouse (EDW) team members to define the future strategy and direction for data warehousing, business intelligence, and analytic reporting for the enterprise.
  • Collaborate with teams in the enterprise to realize more value out of analytics by identifying gaps and opportunities, recommending changes, and improvements to help achieve information goals.
  • Collaborate with teams to promote data governance and the use of centralized metrics and definitions.
  • Provide domain training, mentoring and knowledge transfer to the I/S department and business users.
  • Work with IT teams to ensure quality and compliance with Enterprise Data Architecture by participating in data analysis/design activities.
Required Qualifications
  • Bachelor’s degree in computer science or a related analytical field or equivalent experience.
  • 8+ years of experience leading the design and development of enterprise‑class applications and solutions.
  • 8+ years’ experience with relational database management systems (SQL Server, Oracle, DB2, etc.).
  • 5+ years of hands‑on experience in a large enterprise data warehouse environment.
  • 4+ years’ experience as a Data Architect in a large enterprise data warehouse environment.
  • 4+ years of hands‑on relational and dimensional data modeling experience in a large enterprise environment.
  • 4+ years of experience implementing solutions using an enterprise data warehouse platform such as Teradata, Snowflake, or equivalent technology.
  • 4+ years of experience with 2 or more BI tools (Tableau, Power BI, Qlikview, Greenplum, etc.).
  • 2+ years’ experience with big data…
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