🚀 Data Architect

Sazerac Company Overview

Build your career at Sazerac! With almost 400 years of rich history, Sazerac Company has thrived as an independent, American family-owned company with operations in the United States and around the world. Since the 2000s, Sazerac has averaged double digit growth every year! Sazerac Company produces and markets the most award-winning bourbons and whiskeys in the world, including Buffalo Trace, Pappy Van Winkle, Eagle Rare, Blanton’s, and Sazerac Rye. Additionally, Sazerac owns many popular brands across a range of spirits, including Fireball, Southern Comfort, Seagram’s V.O., Myers’s, Goldschläger, Parrot Bay, 99 Brand, and Platinum Vodka.

We’re proud of our award-winning culture and distilleries. Our Louisville office has been named one of the “Best Places to Work in Kentucky” four times, and our Buffalo Trace Distillery has earned the title of “world’s most award-winning distillery” through the dedication of our craftsmen for well over 200 years. Whether you’re a recent graduate or an experienced professional, Sazerac provides extraordinary opportunities for growth with competitive salaries and benefits in an exciting, entrepreneurial industry.

Job Description/Responsibilities

Bio : An experienced Data Architect with deep expertise in Microsoft Azure data services, along with strong working knowledge of Azure Synapse, Fabric, SQL Server, IBM DB2, and Cognos. This role is responsible for developing and governing enterprise-wide data architecture strategies to ensure consistency, quality, security, and accessibility of data across the organization. This team member will bring both technical depth and strategic vision to design scalable, modern, cloud-first data solutions aligned with business objectives. This position can be remote in Eastern or Central Time Zone.

• Use Performance Development System (PDS) to enhance performance within the company through evaluation, planning, and goal execution. Strive to constantly develop oneself as a valuable asset through personal and professional growth and attention to the position’s outcomes.
• Work closely with enterprise architects, data engineers, and governance teams to align data solutions with IT and business strategy. Provide leadership, and other functional areas, key measures against all performance based activities.
• Contribute to the overall company growth year over year by providing reliable data and support to all functions within the company.
• Provide data and systems that can be utilized by client groups to improve usability and thus team member’s efficiency of day to day activities. This will lead to improved business decisions and strategic planning.
• Define and enforce standards for data quality, data lineage, metadata management, and master data management (MDM). Lead architectural planning, data platform modernization, and migration of legacy systems (SQL Server, DB2) to Azure. Perform data architecture reviews and ensure alignment with security, privacy, compliance, and performance requirements.
• Develop and maintain canonical data models, conceptual/logical/physical data models, and metadata repositories. Design and own enterprise data architecture that supports both operational and analytical workloads across cloud and on-premise environments. Translate complex business needs into end-to-end data architecture that delivers high availability, data integrity, and scalability.
• Architect data integration pipelines and ELT/ETL frameworks using Azure Data Factory, Synapse Pipelines, and custom orchestration when needed. Participate in architecture governance forums and contribute to technology roadmaps and reference architecture blueprints.
• Ensure organization and proper time-management by following list of priorities and organizing tasks based on this list. Provide timely updates to team member or requestors. Provide weekly priority updates to manager, along with details of non-priority tasks completed.
• Serve as the SME on Azure Data Platform technologies: Azure Synapse Analytics, Azure SQL (Database/MI), Azure Data Lake Gen2, Azure Data Factory, Azure Purview or Microsoft Fabric, and Azure Databricks for advanced analytics and large-scale processing. Provide architectural guidance for reporting and analytics solutions, including optimization of Cognos reports and semantic models.