Principal Advanced Analytics Engineer

Endurance IT Services

2d

About The Position

Endurance IT Services is supporting a client in advancing their enterprise-wide AI initiatives. We are seeking a Principal Advanced Analytics Engineer who will lead the technical vision and execution of modern AI, ML, and BI solutions built on Microsoft technologies. This role is ideal for a seasoned engineer who excels at translating complex business challenges into scalable analytical products, guiding engineering standards, and serving as a strategic partner to both technology and business leaders.

Requirements

• 8+ years of experience in data engineering, analytics, or related fields, including 3+ years designing AI/ML architectures or enterprise-grade machine learning solutions.
• Strong communication, collaboration, and customer engagement skills, with a demonstrated ability to work closely with non‑technical stakeholders.
• Advanced proficiency across the Microsoft data and analytics ecosystem, including Microsoft Fabric, Azure Machine Learning, Azure Synapse, Azure Data Factory, Power BI, Lakehouse/Warehouse architectures, Spark, Python, Notebooks, Pipelines, and Dataflows.
• Hands‑on experience developing, validating, and deploying predictive and generative AI models—including large language models—using Fabric and Azure ML.
• Expertise in building dimensional and star‑schema data models to support analytics, reporting, and AI-driven applications.
• Proven experience implementing MLOps practices such as CI/CD for ML, automated monitoring, and model lifecycle management.
• Strong understanding of data governance, including security, access controls, lineage, and compliance with internal and external standards.

Responsibilities

• Collaborate with business stakeholders and senior IT leadership to design, build, and deploy predictive and prescriptive AI/ML models that align with organizational goals.
• Establish and maintain engineering best practices, architectural guidelines, and quality frameworks for advanced analytics solutions.
• Implement end‑to-end MLOps processes, including CI/CD pipelines, model versioning, automated testing, observability, drift monitoring, and retraining workflows within Microsoft Fabric and Azure ML.
• Promote Responsible AI principles by ensuring model fairness, transparency, explainability, and compliance with regulatory and internal governance standards.
• Design and optimize enterprise data models—such as dimensional and star schemas—to support business intelligence, automation, and AI agent workloads.
• Partner with analytics and insights teams to deliver high‑performance, scalable, and reliable data products.
• Ensure adherence to security, data‑access governance, lineage tracking, and enterprise privacy requirements.
• Stay ahead of emerging AI, ML, and BI capabilities; evaluate new technologies and introduce innovative tools and approaches to the organization.
• Provide mentorship to data and analytics engineers, fostering skill development, technical growth, and effective problem-solving practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed