The Lead Data Modeling Engineer at Acosta Group is responsible for the architecture, design, and deployment of data modeling solutions using Microsoft Azure technologies. This hybrid role requires expertise in Azure Analysis Services, Databricks, and Power BI, along with strong leadership and mentoring skills.
Position: Lead Data Modeling Engineer (Azure) - Hybrid Join to apply for the Lead Data Modeling Engineer (Azure) - Hybrid role at Acosta Group 2 days ago Be among the first 25 applicants Join to apply for the Lead Data Modeling Engineer (Azure) - Hybrid role at Acosta Group Description Reporting to the Senior Vice President / General Manager, the Lead Data Modeler Engineer 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 Lead Modeling Engineer is also accountable for the optimization and automation of those BI solutions within Acosta's Enterprise Data Platform. This position is a hybrid role open to anywhere. You will be expected to work on-site at least 3 days a week near an Acosta Group office. Ideal candidates may be located in Jacksonville, FL; Lewisville (Dallas), TX; Rogers, AR; or Charlotte, NC. This position is not eligible for Visa Sponsorship (e.g., H1-B, H4). Responsibilities • 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 settings to deliver solutions on time that meet business and stakeholder requirements. • Performance monitoring, tuning, and optimization of AAS and Power BI models. • Mentor junior and senior data modelers in Power BI and AAS development, focusing on optimization and automation. • Research and investigate new technologies for potential use in Microsoft and other BI tools, sharing solutions within the Data Platform team to drive efficiency and innovation. • Focus on self-development in BI, modeling, and data skills. • Automate and schedule data refreshes for AAS models. • Provision and size AAS resources. • Develop new complex Power BI reports and enhance existing ones as needed. • Familiarize with Acosta's services and supporting data solutions. • Critically analyze data model solutions for broader implications and actionable insights. • Perform other duties as assigned.Qualifications Minimum Education and Work Experience • Bachelor’s degree or equivalent industry experience. • Microsoft Certification: Data Analyst Associate. • MCSA: BI Reporting. • Microsoft Certification: Azure Data Engineer Associate. • 10 years of related work experience. • 7 years in Microsoft SSAS, AAS, and data warehouse design for BI. • 5 years in data analytics and report development software. • 5 years in Power BI, including M Query and DAX. • Experience with ETL tools such as Azure Databricks. Knowledge, Skills, and Abilities • Expertise in Power BI, including Vertipaq engine, performance optimization, and query analysis. • Strong understanding of RDBMS foundations and best practices for data and reporting optimization. • Advanced proficiency in AAS (or SSAS) tabular models, including data loading, relationships, security, and partitioning. • Solid understanding of Azure Databricks environment and functionalities. • Good problem-solving and debugging skills. • Effective communication skills, both written and verbal. #Discover Your Path #J-18808-Ljbffr
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The Lead Data Modeling Engineer (Azure) at Acosta Group is responsible for designing and deploying data modeling solutions using Microsoft Azure tools. This hybrid role requires collaboration with various teams to optimize BI solutions and mentor junior staff.
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Sogeti is seeking an experienced Azure Data Engineer to design and manage data pipelines for an Enterprise Data Warehouse in Dallas, TX. The role involves collaboration with onshore and offshore teams to ensure efficient data integration and delivery.
The Azure Data Lead will oversee data engineering projects using Azure Data Factory, Databricks, SQL, and Python. This hybrid role involves collaborating with stakeholders to design and implement data solutions for the World Bank.
The Lead Data Modeling Engineer (Azure) at Acosta Group is responsible for designing and deploying data modeling solutions using Microsoft Azure tools. This hybrid role requires collaboration with various teams to optimize BI solutions and mentor junior staff.
HYR Global Source Inc is seeking a skilled Azure Data Engineer for a hybrid role in Jersey City, NJ, focusing on building scalable data pipelines. The position requires expertise in Azure technologies and collaboration with cross-functional teams.
The Lead Data Modeling Engineer at Acosta Group is responsible for the architecture, design, and deployment of data modeling solutions using Microsoft Azure technologies. This hybrid role requires expertise in Azure Analysis Services, Databricks, and Power BI, along with strong leadership and mentoring skills.
Vaco Technology is seeking a Data Engineer with expertise in SQL and Azure for a hybrid role in Nashville, TN. The position offers a competitive salary of up to $110K plus bonuses and focuses on data analysis and process improvement.
Sogeti is seeking an experienced Azure Data Engineer to design and manage data pipelines for an Enterprise Data Warehouse in Dallas, TX. The role involves collaboration with onshore and offshore teams to ensure efficient data integration and delivery.
The Azure Data Lead will oversee data engineering projects using Azure Data Factory, Databricks, SQL, and Python. This hybrid role involves collaborating with stakeholders to design and implement data solutions for the World Bank.
The Lead Data Modeling Engineer at Acosta Group is responsible for the architecture, design, and deployment of data modeling solutions using Microsoft Azure technologies. This hybrid role requires expertise in Azure Analysis Services, Databricks, and Power BI, along with strong leadership and mentoring skills.