FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting, implementing, and supporting Microsoft Azure and Fabric Data & AI solutions, with a strong focus on data warehousing, ETL processes, and AI/ML applications. Proven ability to mentor engineers, manage client relationships, and communicate technical concepts effectively to align with strategic business outcomes.
Highest-signal resume keywords
Microsoft Azure Solutions ArchitectureEnterprise Data WarehousingMetadata-Driven ETL ProcessesDevOps/DataOps ImplementationClient Relationship Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Azure Data PlatformDatabricksPower BIETLData WarehousingAI/ML OperationsSQL DWAzure SynapseSemantic ModelsPredictive Analytics
Soft Skills
Strong Verbal CommunicationStrong Written CommunicationProblem SolvingMentoringCollaboration
Tools & Technologies
Microsoft FabricGit-Based Source ControlAutomated Deployment PipelinesData Lake ArchitectureBusiness Intelligence
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceEquivalent Certification
Industry Keywords
ITILClient EngagementTechnical SupportVendor ManagementContinuous Technical Learning
Tech Stack
Tools & technologiesAzureETLSQL
About the role
Key responsibilities & impact- Lead a collaborative effort supporting multiple clients’ Azure Data platform, Databricks, and/or Fabric/Power BI environments
- Respond to escalations and analyze and resolve incidents
- Manage, advise, and delegate all aspects of assigned clients’ in-scope services, including alerting and monitoring, platform governance, ETL, data warehousing, reporting, and AI/ML operations
- Architect, implement, monitor, and support enhancements to clients’ Microsoft Azure and/or Fabric Data & AI tool stacks
- Advise customers on licensing for Microsoft data and AI solutions
- Support data ingestion, metadata-driven ETL architectures, medallion data lake architectures, star-schema data models, enterprise data warehousing, business intelligence, and AI/ML applications
- Research and develop new and custom solutions and refine data engineering and analytics skills
- Identify issues, troubleshoot promptly, and follow up within contracted SLAs
- Communicate ticket status and handle escalations from junior team members
- Attend recurring client meetings and serve as lead engineer for technical questions and support tickets
- Explain technical issues and solutions to clients in business terms aligned with strategic outcomes
- Configure, administer, tune, and develop client data environments using governance, security, and well-architected best practices
- Create and maintain documentation for client environments
- Promote best practices for clients and internally
- Mentor and coach onshore and offshore engineers and coordinate technical work sessions
- Collaborate with team members and client stakeholders to align solutions with client needs and identify engagement growth opportunities
- Advise clients on their technical journey while mentoring and supporting engineers
Requirements
What you’ll need- 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, Microsoft Power BI)
- Strong proficiency in Enterprise Data Warehousing, Semantic Models, Data Lake Architecture, and Metadata-driven ETL processes is required
- Experience with DevOps/DataOps, including 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 preferred
- 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 continuous technical learning
- Ability to work remotely with a team of data analytics professionals
- Applicants must be able to work in the United States; 3Cloud cannot sponsor applicants for work visas
Benefits
Comp & perks- No specific benefits, perks, or compensation extras are stated in the posting