ConvergeOne

Lead Data Engineering Architect

ConvergeOne
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2 years ago
Remote, United StatesStaff+

Responsibilities

  • Design and build enterprise data models and lakehouse/data warehouse frameworks using Microsoft Fabric and SQL Server.
  • Develop ingestion and consumption pipeline architectures for CRM, ERP, managed services, professional services, and HR source systems.
  • Architect and deliver real-time and batch API integration layers across internal and external software systems.
  • Establish master data schemas, integration rules, pipeline automation frameworks, technical governance, data lineage, API contracts, and data dictionary compliance.
  • Evaluate source databases, SaaS APIs, and cross-departmental operations to determine storage and processing requirements.
  • Implement incremental loading, schema-drift protection, query tuning, orchestration evaluation, and performance optimization practices.
  • Coordinate data architecture decisions with data engineering, BI, and analytics teams and convert system blueprints into sprint tasks.
  • Identify and communicate technical risks, integration bottlenecks, pipeline vulnerabilities, and architecture deployment status to IT management.
  • Report operational achievements and architectural roadmaps to the Director of Data Systems and Enablement.

Requirements

  • Bachelor's degree in computer science or information systems, or equivalent direct practical work experience.
  • At least 6 years of dedicated experience in data engineering environments.
  • At least 2 years of experience leading enterprise-scale pipeline and API architecture.
  • Proven experience designing, building, and implementing enterprise data solutions natively within Microsoft Fabric and the broader Microsoft data stack.
  • Strong understanding of API-driven data extraction, REST and SOAP web service protocols, data orchestration tools, data warehouse modeling, and cloud infrastructure patterns.
  • Technical experience integrating NetSuite, Microsoft CRM, ConnectWise, Ivanti, ADP, Keka, and SharePoint.
  • Strong written and oral communication skills, including the ability to explain abstract data structures and API behaviors clearly.
  • Strong technical documentation skills covering data lineage, API contracts, data dictionary compliance, and structural layouts.
  • Ability to prioritize and coordinate tasks in a fluid, flexible hybrid/remote environment.

Benefits

  • 401(k) plan with a 35% employer match per dollar up to a 10% employee contribution.
  • Medical, prescription, dental, vision, HSA, FSA, commuter, telehealth, and wellness benefits.
  • Employer-paid life insurance and short-term disability, with long-term disability options.
  • Paid parental leave, volunteer time off, 10 holidays, and Summer Sizzle.
  • Legal, identity theft, travel assistance, business travel accident, foreign travel medical, pet telehealth, accident, critical illness, and hospital indemnity coverage.
  • Employee assistance, voluntary life, voluntary accidental death, and fertility treatment benefits.
  • On Demand Pay through Daily Pay.
  • The role is described as operating in a hybrid/remote environment.

Tech Stack

Microsoft SQL ServerSOAP

Categories

Data Engineering
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