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Senior Data Engineer - Managed Services

3Cloud
Company3Cloud
CategoryEngineering
LocationRemote - US
RemoteRemote
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted24 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
Are you looking for a role that motivates and challenges you? Are you ready for an opportunity for growth? Do you want to work on teams where people roll up their sleeves to take on tough problems together, and regularly blow the doors off our clients with their outstanding teamwork? If you answered yes to those questions, 3Cloud might just be for you! At 3Cloud, we hire people who aren’t afraid to experiment or fail. We hire people who are willing to give direct and candid feedback to their managers, leaders, and team members. We hire people who jump at those opportunities because they care about our collective growth and success. We hire people who challenge and hold each other accountable for living 3Cloud’s core values because they know that it will result in amazing experiences and solutions for our clients and each other. Senior Data Engineer - Managed Services Responsibilities • Support of client’s Azure Data platform and Power BI Environment, including response to any escalations while helping to analyze and resolve incidents for customers environment • Consult, develop and advise on solutions in Microsoft Azure with tools such as SSIS, SSRS, SSAS, Synapse, Data Factory, Databricks, Data Lake, Data Warehouse • Consult, develop, and advise on Power BI, including report development and modeling • Consistently learn, apply, and refine skills around data engineering and data analytics • Design and deploy data pipelines, models, and data driven solutions for clients in various industries • Understand and work with customer on licensing involving Microsoft data solutions, and understand the limits/advantages of each licensing platform • Preparing Data Analytic solutions for customers including importing data from multiple sources, performant star schema data models to be ingested via Power BI, and report and dashboard development. • Communicate ticket status information to all associated parties and escalate cases as appropriate • Interact with clients to identify issues, troubleshoot expediently, and follow up on issues via e-mail, ticketing system, and phone calls. Communicate technical issues and solutions with clients in business terms • Configure, administer, tune and develop client’s data environment based on contracted services • Create and maintain updated documentation for each client’s environment • Promote best practices for clients and internally to enhance and improve organizational processes • Participate in recurring discussions with clients to review current issues and to propose possible solutions • Collaborate with team members and client stakeholders to ensure our solutions align to our client’s needs Requirements Bachelor’s degree in Computer Science, Mathematics, or related field, or equivalent certification Experience working in a support role and understanding standard support processes (i.e. ITIL) 5+ years architecting, implementing, and supporting solutions on the Microsoft Azure and Fabric tool stacks for Data & AI (ADF, SQL DW, Azure Synapse, Azure Databricks, Microsoft Fabric Data Engineering, Microsoft Power BI) Strong proficiency in Enterprise Data Warehousing, Semantic Models, Data Lake Architecture, and Metadata-driven ETL processes is required Working familiarity with DevOps/ DataOps, for example experience delivering work using git-based source control and automated deployment pipelines is preferred Working familiarity with AI/ Machine learning use cases on the Microsoft tool stacks for Data & AI is a plus Strong verbal and written communication skills A passion for problem solving and learning new technologies Client relationship skills and experience managing vendors Ability to work in a fast paced, rapidly changing environment Strong desire for personal development and learning, including commitment to continuously upgrading your technical skills as the data landscape change Work remote, but not alone – wi
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