Senior Data Engineer & Azure Platform Architect

RB Global, Inc.; Westchester (IL); On-site; USD 160,000 - 230,000; Full time

Job summary

IAA is seeking a Senior Staff Data Engineer to lead technical delivery of major data systems on the Azure stack, including ingestion, transformation, storage, and semantic modeling. You will own architecture decisions, drive platform-wide standards, and influence engineers without headcount.

You will collaborate with data scientists, BI developers, and business stakeholders across Ops, Sales, Marketing, and Product while mentoring and elevating the team’s technical capabilities.

Qualifications

• Extensive hands-on experience as a senior or staff-level data engineer with production data systems.
• Deep expertise across the Azure BI/data stack including Microsoft Fabric, Azure Synapse Analytics, and Power BI.
• Strong command of data engineering architecture, analytics platforms, dimensional/semantic modeling, and scalable pipelines.
• Expert-level Python and SQL with solid software engineering basics (testing, version control, CI/CD, modular design).
• Understanding of how data scientists consume data to build pipelines and infrastructure for training/serving models.
• Proven ability to solve ambiguous, complex problems through robust design and pragmatic execution.
• Strong mentoring and influence skills to raise engineering practices.
• Excellent communication, able to explain tradeoffs to technical and non-technical partners.

Responsibilities

• Design and build major data systems, pipelines, frameworks, and reusable components within your area, contributing to platform-wide design.
• Deliver complex data engineering work on the Azure data/analytics stack (ingestion, transformation, storage, semantic modeling, delivery).
• Refine engineering standards and drive adoption via reviews and hands-on example.
• Create robust pipelines and data products powering dashboards, self-service analytics, forecasting, and downstream ML systems.
• Provide production-grade data pipelines and infrastructure to support model training, serving, and deployment.
• Diagnose performance, reliability, and scalability challenges across BI/data workloads (Power BI, Synapse, Fabric).
• Contribute to technical strategy on Azure BI technologies and evaluation of new tools.
• Mentor engineers and analytics engineers, elevating technical capabilities across the team.
• Partner with engineering leadership on data architecture and tradeoffs within scope.
• Translate complex business problems into practical, scalable data solutions.

Skills

Azure data stack

Python

SQL

Power BI

Semantic modeling

Data pipelines

CI/CD

Mentoring

Architectural design

Communication

Tools

Microsoft Fabric

Azure Synapse Analytics

Job description

IAA is seeking a Senior Staff Data Engineer to lead technical delivery of major data systems on the Azure stack, including ingestion, transformation, storage, and semantic modeling. You will own architecture decisions, drive platform-wide standards, and influence engineers without headcount.

You will collaborate with data scientists, BI developers, and business stakeholders across Ops, Sales, Marketing, and Product while mentoring and elevating the team’s technical capabilities.