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# Data Architect

- **Company:** Hays Specialist Recruitment LLC
- **Location:** Jacksonville, FL, United States
- **Experience:** Experienced
- **Salary:** $125,000.0 - $133,000.0
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Code Review, Data Architecture, Data Integration, Extract Transform Load (ETL), Data Structures, Data Warehousing, Github, Meta-Data Management, Query Optimization, DataOps, Software Deployment, SQL Databases, Google Cloud, Cloud Platform System, Azure Data Factory, Snowflake, Data Strategy, Gitlab, Information Technology, Data Management, Machine Learning Operations, Physical Data Models, Cloud Migration, Software Version Control, Data Pipelines, Databricks
- **Published:** October 22, 2026
- **Apply:** https://www.dice.com/job-detail/13e374bc-15b0-4af0-8193-8ee1c9f8ded4

## About the Role

5+ years of professional experience as a Data Architect, Enterprise Architect, or a highly similar role
10+ years of experience with SQL, advanced data modeling, and optimizing/structuring queries across disparate datasets
5+ years of experience designing and building scalable data pipelines (using tools like Databricks, Snowflake, Glue, Azure Data Factory, or dbt)
Proven experience implementing scalable data architectures in cloud environments (AWS, Azure, Google Cloud Platform) and expertise with cloud data warehouse solutions
3+ years of experience deploying code using source control products like GitLab or GitHub, alongside strong DataOps and CI/CD principles
Exceptional communication skills with the ability to translate complex technical concepts for non-technical audiences and gather requirements from analytical stakeholders
Demonstrated ability to prioritize effectively, manage multiple projects simultaneously, and maintain excellent documentation in a fast-paced environment
Bachelor's or Master's degree in Computer Science, Computer Information Systems, or a highly related field is a plus
Hands-on experience with MLOps
Prior experience working in a global organization or within the Consumer Packaged Goods (CPG) industry
Strong Data Architecture background with 5+ years as a Data Architect/Enterprise Architect, including enterprise data models, architecture frameworks, and roadmaps.
Must have hands-on Databricks experience. Strong experience designing and building scalable enterprise data pipelines.
Proven experience designing scalable data architectures in AWS, Azure, or Google Cloud Platform, including cloud data warehouse solutions and cloud modernization.
Advanced expertise in SQL, data modeling, ETL/ELT, data warehousing, data integration, and query optimization across disparate datasets.
Experience using GitLab or GitHub, with strong knowledge of DataOps and CI/CD principles. MLOps experience is a plus.
Bachelor's or Master's degree in Computer Science, Computer Information Systems, or a related field is preferred but not required.

## Description

As the Data Architect, you will design, build, and manage a scalable, secure, and highly optimized enterprise data architecture! You will play a crucial role in shaping our data strategy, working across multiple departments to implement a robust data ecosystem that supports our business intelligence, analytics, AI, and data science initiatives. Applying your deep understanding of data warehousing, ETL/ELT processes, and cloud-based platforms, you will drive data-driven decisions and provide the foundation for reliable, high-quality data across the organization.
Design and maintain enterprise data architecture frameworks, conceptual and physical data models, and strategic data roadmaps to support business operations
Develop scalable data integration solutions and pipelines to consolidate internal and external sources while supporting cloud modernization initiatives
Establish and enforce data governance policies, metadata management practices, and compliance standards for data privacy and security
Design robust data structures that support reporting, dashboards, predictive analytics, and AI initiatives, including the development of a Universal Semantic Layer
Collaborate with Data Engineers, Analysts, and Business Intelligence teams to optimize data accessibility and support self-service analytics capabilities
Provide technical oversight, conduct enterprise architecture and code reviews, and maintain comprehensive architecture documentation and technical specifications
Perform other duties as assigned