Data Architect - Technology Architecture

Publix Super Markets•Lakeland, FL

2d•Hybrid

About The Position

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.

Requirements

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’ experience implementing solutions using an enterprise data warehouse platform such as Teradata, Snowflake, or equivalent technology
4+ years’ experience with 2 or more BI tools (Tableau, Power BI, QLikview, Greenplum, etc.)
2+ years’ experience with big data technologies such as Apache Spark (or Databricks), Hadoop or equivalent technology
2+ years’ experience implementing data solutions in the public cloud (Azure, AWS, or GCP)
Formal experience eliciting requirements from business users and working with technical teams to develop comprehensive solutions
Technical proficiency with BI best practices, specifically data visualization, dashboards, business metrics, KPIs, reports, queries, search, predictive analytics, and master data management.
Strong understanding of data warehouse methodologies and concepts, including star schemas, snowflakes, ETL processes, dimensional modeling, and BI reporting tools

Nice To Haves

Hands-on experience building large-scale data pipelines using tools such as Apache Airflow, Azure Data Factory, or other equivalent technology
Experience with the Power BI & Power Platform suite of Business Intelligence tools
Strong understanding of the Snowflake cloud data platform
Hands-on experience with the Microsoft suite of Business Intelligence tools including Power BI
Hands-on experience with NoSQL technologies such as Cassandra, CouchDB, MongoDB
Hands-on experience with big data solutions such as Databricks or Apache Spark, HBase and/or Hadoop eco-system (MapReduce, Pig, Hive, Sqoop) including data collection, storage, transformation, and analysis
Snowflake and/or other data related certifications
Hands-on experience using message streaming technologies such as Apache Kafka, Apache Flink, or other equivalent technology
Experience with related/complementary Big Data open-source software platforms and languages (e.g. Java, Scala, Apache, Perl/Python/PHP, etc.)

Responsibilities

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