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 & AI Engineer - Managed Services

Responsibilities

Lead a collaborative effort supporting multiple clients’ Azure Data platform, Databricks, and/or Fabric / PowerBI environments, ensuring prompt responses to any escalations while analyzing and resolving incidents
Manage, advise, and delegate all aspects of assigned client’s in-scope services (e.g. alerting & monitoring, platform governance, ETL, Data Warehousing, Reporting, AI/MLops, etc.)
Architect, implement, monitor, and support 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)
Understand and advise customers on licensing involving Microsoft data and AI solutions, and understand the limits/advantages of each licensing platform
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
Research new and custom solutions where appropriate; learn, apply, and refine skills around data engineering and data analytics
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 from more junior team members as appropriate
Attend regularly cadenced client meetings and serve as lead engineer for technical questions and support tickets
Communicate technical issues and solutions to clients in business terms with an eye toward supporting strategic business outcomes
Configure, administer, tune and develop client’s data environment based on governance and security best practices and well-architected frameworks
Create and maintain updated documentation for each client’s environment
Promote best practices for clients and internally to enhance and improve organizational processes
Mentor/coach onshore and offshore engineers on assigned clients – coordinate technical work sessions for gap areas and refine client communications
Collaborate with team members and client stakeholders to ensure solutions align to our client’s needs and best practices, and to identify opportunities for growth in a client engagement
Advise clients on their technical journey while mentoring and supporting engineers across the team

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, 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, for example experience delivering work using git-based source control and automated deployment pipelines is required