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This role focuses on designing and implementing integrations and automated workflows that connect business systems to the enterprise data platform at Citrin Cooperman. You will collaborate with business stakeholders and Data Engineers to ensure reliable data movement and operational efficiency.
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Citrin Cooperman offers a dynamic work environment, fostering professional growth and collaboration. We’re continuously seeking talented individuals who bring a problem-solving mindset, fresh perspectives, and sharp technical expertise. We know you have choices, so our team of collaborative, innovative professionals are ready to support your professional development. At Citrin Cooperman, we offer competitive compensation and benefits and most importantly, the flexibility to manage your personal and professional life to focus on what matters most to you!
We are actively building a Data Operations team to establish and scale our foundational enterprise data platform using Microsoft Fabric. We are looking for a self-directed Data Integration & Automation Engineer to design, build, and own the integrations and automated workflows that connect our business systems to that platform and to the people who rely on it.
In this role, you will be a key part of our operational core, focusing on the integration and automation work that keeps data moving reliably between systems. You will work across Microsoft Fabric (OneLake, Data Factory, and Notebooks), Microsoft Power Platform (Power Automate, Power Apps, and Dataverse), and Azure Integration Services (Azure Functions, Logic Apps, and Service Bus) to connect enterprise systems and legacy on-premises systems, third-party APIs, and business teams. Working closely with our Data Engineers, you will take ownership of integrations from design through daily operation, meet directly with business stakeholders to turn their process needs into technical designs, and exercise independent judgment in choosing tools and design patterns. The ideal candidate is an experienced builder who can explain technical trade-offs in plain business terms, works well without close supervision, and treats every integration as a system someone will have to support long after go-live.
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