Senior Data & AI Engineer - Managed Services

3Cloud

8h•Remote

About The Position

3Cloud is hiring a Senior Data & AI Engineer for its Managed Services team. The role supports multiple clients’ Azure Data platform, Databricks, and/or Fabric and Power BI environments. The engineer leads technical support and client engagement, responds to escalations, analyzes and resolves incidents, and manages or advises on in-scope services such as monitoring, platform governance, ETL, data warehousing, reporting, and AI/ML operations. The position architects, implements, monitors, and supports enhancements to clients’ Microsoft Azure and/or Fabric data and AI tool stacks. It develops comprehensive data solutions spanning source ingestion, metadata-driven ETL, medallion data lake architecture, and performant star-schema models for enterprise data warehousing, business intelligence, and AI/ML applications. The engineer configures and tunes client environments according to governance, security, and well-architected framework practices, maintains client documentation, and advises customers on Microsoft licensing. The role includes regular client meetings, communication of technical issues and solutions in business terms, proactive ticket-status updates, and work within contracted SLAs. The engineer serves as a technical lead for client questions and support tickets, mentors onshore and offshore engineers, collaborates with client stakeholders and team members, and identifies opportunities to improve processes and grow client engagements. The position is remote and includes working with a team of data analytics professionals.

Requirements

Bachelor’s degree in Computer Science, Mathematics, or a related field, or equivalent certification.
Experience working in a support role and understanding standard support processes such as ITIL.
At least 5 years architecting, implementing, and supporting Microsoft Azure and Fabric data and AI solutions, including ADF, SQL DW, Azure Synapse, Azure Databricks, Microsoft Fabric, and Microsoft Power BI.
Strong proficiency in enterprise data warehousing, semantic models, data lake architecture, and metadata-driven ETL processes.
Experience with DevOps/DataOps, such as delivering work using Git-based source control and automated deployment pipelines.
Strong verbal and written communication skills.
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.
Desire for personal development and learning, including continuously upgrading technical skills as the data landscape changes.

Nice To Haves

Experience implementing and/or supporting Agentic AI, machine learning, predictive analytics, and/or LLM use cases on the Microsoft data and AI tool stack.

Responsibilities

Lead collaborative support for multiple clients’ Azure Data platform, Databricks, and/or Fabric and Power BI environments, responding promptly to escalations and analyzing and resolving incidents.
Manage, advise on, and delegate assigned client 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 and AI tool stacks.
Advise customers on licensing for Microsoft data and AI solutions, including the limits and advantages of licensing platforms.
Support end-to-end data solutions involving multiple data sources, metadata-driven ETL, medallion data lake stages, and performant star-schema data models for enterprise data warehousing, business intelligence, and AI/ML.
Research and develop new or custom solutions, and learn, apply, and refine data engineering and analytics skills.
Interact with clients to identify issues, troubleshoot promptly, and follow up within contracted SLAs.
Communicate ticket status proactively to associated parties and handle escalations from more junior team members as appropriate.
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, supporting strategic business outcomes.
Configure, administer, tune, and develop client data environments using governance and security best practices and well-architected frameworks.
Create and maintain current documentation for each client environment.
Promote best practices with clients and internally to improve organizational processes.
Mentor and 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 align solutions with client needs and best practices and identify opportunities for engagement growth.
Advise clients on their technical journey while mentoring and supporting engineers across the team.