Data Architect - Technology Architecture

Publix•Lakeland, FL

1d•$135,200 - $202,800•Hybrid

About The Position

Publix Super Markets, Inc. is seeking a Data Architect to join their Technology Architecture team. This role is a high impact, hands-on position focused on enabling data solutions. The Data Architect will partner with cross-functional teams to define strategy, develop standards, and implement data technologies. The company offers career opportunities at every level and is consistently ranked among Fortune’s “100 Best Companies to Work For”. This position is located in Lakeland, FL and offers a hybrid work model, allowing for both in-person collaboration and remote innovation.

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.

Nice To Haves

Strong understanding of data warehouse methodologies and concepts, including star schemas, snowflakes, ETL processes, dimensional modeling, and BI reporting tools
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.