Data Modeling Technology Lead

Lead, Data Modeling Tech

Reporting to the Senior Manager of Advanced Modeling & Analytics, the Lead Data Modeler is responsible for the architecture, design, development and deployment of data modeling and reporting capabilities utilizing Microsoft Azure Analysis Services, Azure Databricks and Microsoft Power BI software platforms. The role is part of our Enterprise Data Platform team that manages the ingestion, storage, modeling, and consumption of data for Acosta and our clients.

The Data Modeling Tech Lead is also accountable for the optimization and automation of those BI solutions within Acosta's Enterprise Data Platform.

• Development of complex/advanced Azure Analysis Services (AAS) Tabular models with large volumes of data and advanced business logic, as well as enhancements to existing large/advanced AAS models.
• Creation of complex and efficient views in Azure Databricks to support AAS Tabular modeling requirements.
• Work closely with Project Managers / Scrum Masters, BI Architects, BI QA Analysts and Data Engineering Developers in both Agile and Waterfall work settings to deliver solutions against a deadline that meet the requirements of the business and product stakeholders.
• Performance monitoring, tuning and optimization of AAS and PBI models.
• Mentor Junior and Senior Data Modelers in PBI and AAS development, specifically surrounding optimization, and automation.
• Investigate new and emerging technologies with potential uses for Microsoft and other BI technologies by researching, POC'ing and sharing solutions within the Data Platform team that will help drive efficiency and innovation for our business and product stakeholders.
• Continually focus on self‑development by allocating time to continually develop your BI, modeling, and data skills.
• Automation and scheduling/triggering of data refreshes for the AAS models.
• Investigate new and emerging technologies with potential uses and impacts for the Data Platform and Acosta as a whole.
• Provisioning and sizing of AAS resources.
• Occasional development of new complex/advanced Power BI reports and enhancements to existing complex/advanced Power BI reports.
• Familiarize yourself with Acosta's services (namely Retail, Headquarter Selling) – along with the data solutions (NARS, POS, CPG Syndicated) that support those services.
• Think critically about the data model solutions you're delivering, identifying patterns and extracting actionable insights and information from the data made available to you.
• Other duties as assigned.

• This position is not eligible for employer‑sponsored work visas; candidates must be authorized to work in the United States without current or future sponsorship.

• This role follows a Hybrid schedule requiring three in‑office days each week at a local Acosta hub or office.

• Bachelor’s degree in Business, Analytics, Information Systems, Computer Science, or equivalent practical experience.
• 7 years or more of hands‑on experience building tabular data models using Azure Analysis Services (AAS) or SQL Server Analysis Services (SSAS).
• 5 years or more of experience developing Power BI semantic models, including strong skills in DAX, Power Query (M), and data modeling best practices.
• Practical experience working with Azure Databricks (SQL, notebooks, view creation, performance tuning).
• Experience supporting analytics solutions for Retail or CPG organizations (POS, syndicated data, supply chain, sales, category performance, etc.) is preferred.
• Demonstrated ability to work directly with business stakeholders and/or external clients to translate requirements into scalable BI solutions.

• Strong understanding of relational database concepts, dimensional modeling, and star‑schema design.
• Proven experience optimizing BI semantic models (query performance, model size, refresh efficiency).
• Hands‑on experience developing or enhancing AAS tabular models, including model relationships, partitions, incremental refresh, and security configuration.
• Ability to write efficient SQL for data validation, transformations, and Databricks view creation.
• Familiarity with modern…