10 дней назад
Principal Software Engineer (Azure Data)
171 290 - 256 990$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Software Engineer (Azure Data): Building and evolving IAA’s enterprise data platform on Azure, including complex pipelines, semantic models, data products, and infrastructure for analytics, BI, forecasting, and machine learning, with an accent on Microsoft Fabric, Synapse, Power BI, Python, and SQL. Focus on defining platform architecture and engineering standards, solving performance and scalability challenges, and building data infrastructure for model training, serving, RAG, and LLM workloads.
Location: Westchester, Illinois, United States
Salary: $171,290–$256,990
Company
RB Global operates an omnichannel marketplace for commercial assets and vehicles through auction sites and digital platforms serving customers worldwide.
What you will do
- Set and evolve the architecture of the enterprise data platform across ingestion, transformation, storage, semantic modeling, and data delivery on Azure.
- Design and build complex production data pipelines, frameworks, reusable components, semantic models, and data products.
- Develop infrastructure supporting dashboards, self-service analytics, forecasting, machine learning, model training, and model serving.
- Define and drive standards for code quality, performance, scalability, observability, security, governance, and cloud-native delivery.
- Diagnose difficult performance, reliability, and scalability issues across Power BI, Synapse, Fabric, and other data workloads.
- Mentor data and analytics engineers and advise engineering and business leadership on architecture, tradeoffs, and platform priorities.
Requirements
- Extensive senior or principal-level experience designing and building production-scale data platforms.
- Deep expertise in Microsoft Fabric, Azure Synapse Analytics, Power BI, semantic modeling, and Azure data services.
- Expert proficiency in Python and SQL, with strong software engineering fundamentals including testing, version control, CI/CD, and modular design.
- Strong knowledge of data engineering architecture, dimensional modeling, scalable fault-tolerant pipelines, and modern analytics platforms.
- Ability to solve complex business problems, communicate technical tradeoffs, and influence stakeholders without formal authority.
- Must be legally entitled to work in the United States.
Nice to have
- 12+ years of experience building enterprise data platforms.
- Experience with BI modernization, infrastructure-as-code, secure cloud environments, and platform-wide reference architectures.
- Experience building pipelines for RAG, LLM, or other modern AI workloads.
Culture & Benefits
- Full-time employment with medical, dental, vision, and basic life insurance.
- 401(k) plan with a 100% company match on the first 4% contributed.
- 15 days of paid time off per year.
- High-visibility collaboration across engineering, data science, BI, infrastructure, operations, sales, marketing, and product.
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