AI-Driven Data Platform Engineer

Deploy Alloy; Birmingham (AL); On-site; USD 110,000 - 150,000; Full time

Job summary

Deploy Alloy is seeking a Data, Analytics & AI Engineer to design, build, and evolve a modern enterprise data platform in Birmingham, AL. This hands-on role sits at the intersection of data engineering, analytics, and AI, delivering scalable pipelines, powerful analytics, and AI-driven workflows that transform how the business operates.

You will work with Azure Data Factory, Boomi, and Azure SQL, developing data models and migrating to Microsoft Fabric Lakehouse/Warehouse architectures while

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Applied Mathematics, or a related field required.
• Strong experience building enterprise data pipelines using Azure Data Factory, Boomi, or similar tools.
• Excellent SQL skills with experience designing relational data models.
• Experience with Azure SQL Database or similar technologies.
• Hands-on experience building Power BI semantic models, dashboards, and reports.
• Programming experience with Python, including notebooks and data engineering workflows.
• Practical experience applying AI and Machine Learning to solve real business challenges.
• Strong analytical and problem-solving skills.
• Ability to communicate technical concepts to both technical and non-technical audiences.
• Curious, self-motivated, and excited about learning new technologies.

Responsibilities

• Design, build, and maintain scalable data pipelines using Azure Data Factory and Boomi.
• Integrate data from ERP, EHS, operational, and enterprise systems.
• Develop and manage curated data models in Azure SQL and migrate to Microsoft Fabric Lakehouse/Warehouse architectures.
• Ensure data quality, governance, and reliability.
• Establish best practices and architecture standards for next-gen data platform.
• Build interactive dashboards, semantic models, and reports using Power BI.
• Partner with business leaders to translate questions into KPIs and analytics.
• Enable self-service reporting through well-designed datasets and documentation.
• Turn raw data into meaningful business insights.
• Design, prototype, and deploy AI/ML solutions.
• Build intelligent workflows with AI and agentic technologies.
• Leverage Azure AI services and Fabric features including notebooks, ML, and real-time analytics.
• Champion responsible AI adoption.
• Identify AI opportunities to improve forecasting, anomaly detection, classification, automation, and decision-making.
• Collaborate with IT, Security, DevOps, and business leaders to deliver secure scalable solutions.
• Work with cross-functional teams and affiliate companies on strategic initiatives.
• Manage projects with measurable business outcomes and clear success metrics.
• Evaluate emerging technologies in data, analytics, and AI.
• Recommend improvements that create measurable business value.
• Foster a culture of innovation, experimentation, and data-driven decision making.

Skills

Azure Data Factory

Boomi

SQL

Power BI

Python

AI/ML

Data modeling

Data analytics

Communication

Problem solving

Education

Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Applied Mathematics, or related field

Tools

Microsoft Fabric

Azure SQL Database

Notebooks

Job description

Deploy Alloy is seeking a Data, Analytics & AI Engineer to design, build, and evolve a modern enterprise data platform in Birmingham, AL. This hands-on role sits at the intersection of data engineering, analytics, and AI, delivering scalable pipelines, powerful analytics, and AI-driven workflows that transform how the business operates.

You will work with Azure Data Factory, Boomi, and Azure SQL, developing data models and migrating to Microsoft Fabric Lakehouse/Warehouse architectures while