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3Cloud

Data Architect - Managed Services

Remote - US; USARemote · United States
Staff · Managed Data Services
POSTED 28 JULVERIFIED 47M AGO
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Pay · 3Cloud
$167k–$170k
p25–p75 · n=5
Open for
98d
since 28 Jul
H-1B · FY26
3
certified LCAs
Hiring · 30d
38
−1 net · open roles
AzureSQL

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.

Data Architect - Managed Services

Responsibilities

  • Work with Managed Services leadership coordinating services functions and client experience across service lines
  • Own the architecture, implementation, monitoring, and support efforts across clients’ Microsoft Azure and/or Fabric tool stacks for Data & AI (e.g. ADF, SQL DW, Azure Synapse, Azure Databricks, Microsoft Fabric Data Engineering, Microsoft Power BI)
  • 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 applications
  • Own the monitoring and observability strategy for assigned client accounts – define what should be monitored, threshold standards, reporting cadence, and alignment to client SLA expectations
  • Contribute to biweekly or monthly syncs with other peer Architects to align technical solutions, and team collaboration opportunities that help the team advance their skills and competencies
  • As an SME within Managed Services, provide support to the solution architecture pre-sales team to align pre-sales and delivery expectations around the solution definition and delivery execution (e.g. participate in offering committees)
  • Serve as a mentor and coach to all levels regarding technical support, scope, and process oversight
  • Regularly and proactively communicate delivery information to all associated parties and handle escalations from more junior team members as appropriate
  • Lead the project team’s consumption toward billable targets and support the team by breaking through project blockers
  • Help facilitate technical design and scope within SOWs/Change Orders with Solutions as needed
  • Promote best practices for clients and internally to enhance and improve organizational processes
  • Drive technical alignment across practice areas where solutions intersect, providing oversight and guidance to ensure cross-practice designs are cohesive, scalable, and aligned to customer outcomes
  • Advise clients on their technical journey while mentoring and supporting engineers across the team
  • Foster and build relationships between team members both internal and external

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 (e.g. ITIL)
  • Previous experience acting as the technical delivery oversight on multiple client engagements with strong consultative skills
  • 8+ years architecting, implementing, and supporting solutions on the Microsoft Azure and/or 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
  • Experience with DevOps/ DataOps (e.g. experience delivering work using git-based source control and automated deployment pipelines) is preferred
  • Experience with AI/ Machine learning use cases on Microsoft tool stacks for Data & AI is a plus
Source · 3CloudFirst seen 3 NovOriginal ↗