Apply on Employer Site

Ultradent Products, Inc. · 1 month ago

Azure AI & Data Engineer

Salt Lake City, UT

Full-time

Onsite

Senior Level

7+ years exp

Ultradent Products, Inc. is seeking a passionate Azure AI & Data Engineer to join their Data & Analytics Team. The role involves implementing data pipelines and supporting data architecture on Azure to enhance analytical solutions and deliver actionable insights.

HardwareHealth CareManufacturingMedicalMedical Device

H1B Sponsor Likely

Responsibilities

Thought leadership in technology innovation and transformation

Maintaining applications ensuring high availability, performance and user experience

Creates and maintains optimal data pipeline architecture on Azure platform. Ensures that system designs adhere to solution architecture design and are traceable to functional as well as non-functional requirements

Designs relational and non-relational data stores on Azure. Builds analytical tools to provide actionable insights from key business performance metrics

Leverages Azure Data Factory and Databricks to assemble large, complex data sets that meet end user and business requirements. Designs new solutions and services to improve overall user experience

Identifies, designs, and implements internal process improvements such as automating manual processes and optimizing data delivery. Defines system design standards to improve and sustain standardization

Expertise in Azure DevOps concepts and implementations, including git, CI/CD pipelines, IaC, docker containers, and Work Items

Assists Manager-Data Administration in leading coordination with other staff to ensure data handling meets organizational objectives for data quality, business process management, and risk management

Provides technical mentoring to other team members for best practices on data engineering and cloud technologies

Defines and enforces logical and physical data models for both the Azure Data Lake and the Azure Synapse Analytics data warehouse

Leads the effort to standardize data definitions, metadata management, and data lineage across the Azure platform to ensure consistency and quality

Develops and maintains the multi-layered Data Lake architecture (e.g., Raw, Bronze, Silver, Gold zones) to optimize for ingestion, transformation, and consumption of data by both BI and AI initiatives

Designs and implements real-time and batch data ingestion strategies, ensuring low latency and high reliability for critical business data

Evaluates and recommends new Azure services or architectural patterns to continuously improve data security, performance, and cost efficiency of the overall data ecosystem

Establishes and monitors data quality checks and validation rules within data pipelines to maintain a high level of trust in the datasets used for reporting and machine learning models

Implements schema evolution strategies to manage changes in source data and prevent pipeline breaks

Develops, trains, and deploys machine learning models using Azure Machine Learning (AML) / Azure AI Studio or equivalent platforms

Builds end-to-end MLOps pipelines (e.g., model registration, automated retraining, deployment via Azure Kubernetes Service/Managed Endpoints) using Azure DevOps and AML

Hands-on experience implementing data and AI workflow automation using n8n, Microsoft Power Automate, or equivalent tools to connect Azure services, databases, and enterprise applications

Architects and implements low-code/no-code AI workflow automation using n8n or equivalent tools (e.g., Power Automate, Zapier, Apache Airflow)

Integrates AI services (e.g., Azure Cognitive Services, custom models) with business processes, data pipelines, and third-party systems via REST APIs and webhooks

Designs and maintains Real-time AI inference services and ensures their scalability and performance

Qualification

Azure Data FactoryAzure Machine LearningData Lake ArchitectureMLOps PipelinesAzure Synapse AnalyticsPower BIData WarehousingPythonAnalytical AbilitiesCommunication SkillsProblem SolvingTeam Collaboration

Required

Outstanding business acumen

Restlessness to answer 'why?' questions

Excellent analytical abilities

Strong technical skills

Superior written and verbal communication skills

Experience in all stages of database and ML project work (requirements, logical and physical design, implementation, testing and deployment)

Firm grasp of modern BI implementation and MLOps methodologies

In-depth experience with the Microsoft BI Stack (SSIS/Data Factory, Azure Data Warehouse, Azure Analytics/SSAS and PowerBi) and Azure AI platforms

Thought leadership in technology innovation and transformation

Maintaining applications ensuring high availability, performance and user experience

Creates and maintains optimal data pipeline architecture on Azure platform

Ensures that system designs adhere to solution architecture design and are traceable to functional as well as non-functional requirements

Designs relational and non-relational data stores on Azure

Builds analytical tools to provide actionable insights from key business performance metrics

Leverages Azure Data Factory and Databricks to assemble large, complex data sets that meet end user and business requirements

Identifies, designs, and implements internal process improvements such as automating manual processes and optimizing data delivery

Defines system design standards to improve and sustain standardization