Data Engineer (Managed Services)
This Data Engineer position is a member of 3Cloud’s Managed Services team. He or she is responsible for ongoing development, support, escalations, and proactive maintenance for our client’s Azure Data Platform solution through the Managed Services teams processes, procedures, and tools. As a Data Engineer, you will be a critical part of our core team that is essential to the success of our Managed Services division.
Roles and Responsibilities:
Support multiple clients’ Azure Data platform, Databricks, and/or Fabric / PowerBI environments, delivering prompt responses to any escalations while analyzing and resolving incidents
Support, implement, and monitor enhancements to clients’ Microsoft Azure and/or Fabric tool stacks for Data & AI (ADF, SQL DW, Azure Synapse, Azure Databricks, Microsoft Fabric Data Engineering, Microsoft Power BI)Consult, develop, and advise on Power BI, including report development and modeling
Support comprehensive solutions for customers including importing data from multiple sources, transforming via metadata-driven ETL architectures, storing across the stages of medallion data lake architecture, and serving performant star schema data models for Enterprise Data Warehousing, Business Intelligence and AI/ ML applications
Configure, administer, tune and develop client’s data environment based on governance and security best practices and well-architected frameworks
Interact with clients to identify issues, troubleshoot expediently, and follow up on issues within contracted SLAs
Regularly and proactively communicate ticket status information to all associated parties, handle escalations as appropriate
Communicate technical issues and solutions to clients in business terms with an eye toward supporting strategic business outcomes
Understand and work with customer on licensing involving Microsoft data solutions, and understand the limits/advantages of each licensing platform
Research new and custom solutions where appropriate; learn, apply, and refine skills around data engineering and data analytics
Create and maintain updated documentation for each client’s environment
Participate in recurring meetings with client stakeholders 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
Qualifications:
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)
3 – 5 years supporting solutions on the Microsoft Azure and Fabric tool stacks for Data & AI (ADF, SQL DW, Azure Synapse, Azure Databricks, Microsoft Fabric, Microsoft Power BI)
Proficiency in supporting Enterprise Data Warehousing, Semantic Models, Data Lake Architecture, and Metadata-driven ETL processes is required
Experience with DevOps/ DataOps, for example experience delivering work using git-based source control and automated deployment pipelines is required
Experience implementing and/or supporting Agentic AI, machine learning, predictive analytics, and/or LLM use cases on the Microsoft tool stack 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 – with a team filled top to bottom with data analytics professionals
Full-time employment
📌 Remote in Philippines
3Cloud is a technology consulting and managed services firm helping clients transform their businesses and manage their operations through the power of the cloud. We leverage Microsoft Azure to help our clients speed up innovation, operate more efficiently, and be more responsive to their customers’ needs. As a Microsoft partner, we specialize in managed services, migration, cloud-scale custom application development, analytics, and DevOps – all on the Azure platform.