Sazerac Co.
Overview
Sazerac Company overview and culture are described in the original posting. This position is for a Data Architect with deep expertise in Microsoft Azure data services, including Azure Synapse, Fabric, SQL Server, IBM DB2, and Cognos. The role focuses on developing and governing enterprise-wide data architecture strategies to ensure data quality, security, and accessibility, with cloud-first data solutions aligned to business objectives. This position can be remote in Eastern or Central Time Zone. Job Description / Responsibilities
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 members’ 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 a list of priorities and organizing tasks based on this list. Provide timely updates to team members or requestors. Provide weekly priority updates to the 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. Qualifications / Requirements
MUST Strong analytical and technical skills Excellent oral & written communication skills Working knowledge of MS Office Products (Word, Excel and Outlook) Demonstrate the ability to work as a team as well as self-directed Ability to handle multiple tasks at one time Strong communication and interpersonal skills, with the ability to work effectively with cross-functional teams. Detail-oriented with strong organizational and project management skills. A proactive mindset and the ability to adapt to a fast-paced and dynamic work environment Innovative, analytical, solution-oriented mindset with problem solving and strategic thinking skills to evaluate and provide actionable insights 8 years years of experience in data architecture, enterprise data solutions, or large-scale analytics environments Bachelor’s degree in computer science, information systems, engineering, or related discipline Extensive hands-on experience in: Microsoft Azure data services (Synapse, ADF, Data Lake, SQL), Microsoft Fabric (Lakehouse, real-time analytics), Azure Databricks, IBM DB2, Cognos analytics (report modeling, framework manager) Strong understanding of data security, encryption, RBAC, and compliance in cloud environments Experience in enterprise data modeling (3NF, dimensional, data vault), data integration and transformation design, T-SQL and DB2 SQL (procedures, indexing, tuning), metadata and data catalog design and usage Proven ability to bridge the gap between business goals and technical execution PREFERRED Azure certifications such as: Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Azure Solutions Architect Expert Experience with data governance tools (Azure Purview, Informatica, Collibra) Experience with enterprise BI tools beyond Cognos (e.g., Power BI) and integration with Microsoft Fabric and Azure Databricks Exposure to enterprise architecture frameworks (TOGAF, Zachman) and data strategy initiatives Experience working with Oracle Fusion ERP and Informatica is preferred Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Beverage Manufacturing Referrals increase your chances of interviewing at Sazerac Company by 2x
#J-18808-Ljbffr
Sazerac Company overview and culture are described in the original posting. This position is for a Data Architect with deep expertise in Microsoft Azure data services, including Azure Synapse, Fabric, SQL Server, IBM DB2, and Cognos. The role focuses on developing and governing enterprise-wide data architecture strategies to ensure data quality, security, and accessibility, with cloud-first data solutions aligned to business objectives. This position can be remote in Eastern or Central Time Zone. Job Description / Responsibilities
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 members’ 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 a list of priorities and organizing tasks based on this list. Provide timely updates to team members or requestors. Provide weekly priority updates to the 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. Qualifications / Requirements
MUST Strong analytical and technical skills Excellent oral & written communication skills Working knowledge of MS Office Products (Word, Excel and Outlook) Demonstrate the ability to work as a team as well as self-directed Ability to handle multiple tasks at one time Strong communication and interpersonal skills, with the ability to work effectively with cross-functional teams. Detail-oriented with strong organizational and project management skills. A proactive mindset and the ability to adapt to a fast-paced and dynamic work environment Innovative, analytical, solution-oriented mindset with problem solving and strategic thinking skills to evaluate and provide actionable insights 8 years years of experience in data architecture, enterprise data solutions, or large-scale analytics environments Bachelor’s degree in computer science, information systems, engineering, or related discipline Extensive hands-on experience in: Microsoft Azure data services (Synapse, ADF, Data Lake, SQL), Microsoft Fabric (Lakehouse, real-time analytics), Azure Databricks, IBM DB2, Cognos analytics (report modeling, framework manager) Strong understanding of data security, encryption, RBAC, and compliance in cloud environments Experience in enterprise data modeling (3NF, dimensional, data vault), data integration and transformation design, T-SQL and DB2 SQL (procedures, indexing, tuning), metadata and data catalog design and usage Proven ability to bridge the gap between business goals and technical execution PREFERRED Azure certifications such as: Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Azure Solutions Architect Expert Experience with data governance tools (Azure Purview, Informatica, Collibra) Experience with enterprise BI tools beyond Cognos (e.g., Power BI) and integration with Microsoft Fabric and Azure Databricks Exposure to enterprise architecture frameworks (TOGAF, Zachman) and data strategy initiatives Experience working with Oracle Fusion ERP and Informatica is preferred Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Beverage Manufacturing Referrals increase your chances of interviewing at Sazerac Company by 2x
#J-18808-Ljbffr